EAI Endorsed Transactions on Smart Cities

Visit the new journal website to submit and consult our contents: https://publications.eai.eu/index.php/sc/index

Editor(s)-in-Chief: Henrique Santos, Sara Paiva, Associate Editors-in-Chief, Tiziana Campisi and Nishu Gupta

Aims & Scope
Indexing
Editorial Board
Special Issues

EAI Endorsed Transactions on Smart Cities is open access, peer-reviewed scholarly journal focused on applications for Smart Cities with leverage on big-data applications, ICT devices used in the factory of the future, HPC, industrial processes, energy efficiency systems, social platforms, and more. The journal publishes research articles, review articles, commentaries, editorials, technical articles, and short communications with a quarterly frequency (four issues per year). Authors are not charged for article submission and processing.

INDEXING: DOAJ, CrossRef, Google Scholar, ProQuest, EBSCO, CNKI, Dimensions

Topics include, but are not limited to, the following:

Applications for Smart Cities able to leverage Big-Data Applications, ICT devices used in Factory of the Future, HPC, Industrial Processes, Energy Efficiency Systems, Social Platforms, etc.
Building Trust-based communication and computing systems for IoT and Clouds applications being Secure for Citizens
eHealth applications for Citizens.
Connecting in City Buildings for optimizing resources and utilities.
Software engineering methodology for the design of Smart Cities Systems
Energy Efficient and Green Software-defined Infrastructures aimed at Smart Cities facilities.
Re-allocation of resources and services (independently of their location) across distributed computing and geographically separated data storage and processing infrastructures. Inter-Cities along with Federation Services: availability, Disaster recovery, etc.
Federation of Services (IaaS, PaaS and SaaS) aimed at Public Administrations
Service discovery in Smart Cities - device Discovery and Data Discovery.
Easy and Large Deployment and autonomic management of densely interconnected and decentralised Cloud, Networks and IoTs infrastructures aimed at Smart Cities.
Control Architectures/Network Programmability in Smart Cities aimed at mobility, traffic and road networks, transport systems, energy, economy, and so on.
ICT applications enabling Energy-aware, smart and sustainable mobility solutions for Smart Cities.
Verification/Debugging/ Auditing Tools for all Applications in Smart Cities Domains
Energy-aware and sustainable computing solutions for Smart Cities applications

Call for Papers: Special issue on: Smart Tourism: Tourism in Smart Cities (Manuscript submission deadline: 2022-03-31; Notification of acceptance: 2022-04-15; Submission of final revised paper: 2022-05-15; Publication of special issue (tentative): 2022-06-15)

Guest Editor: Tiago C. Pereira (IESF's Research, Development and Innovation Centre-CIDI, Portugal)

Call for Papers: Special issue on: Smart Technologies: Applied Technology in Smart Cities (Manuscript submission deadline: 2022-06-30; Notification of acceptance: 2022-07-21; Submission of final revised paper: 2022-08-30; Publication of special issue (tentative): 2022-10-21)

Guest Editor: Tiago C. Pereira (IESF's Research, Development and Innovation Centre-CIDI, Portugal) Guest Editor: Antonio Abreu Silva (Instituto Politécnico do Porto, Portugal) Guest Editor: João Vidal de Carvalho (Polytechnic of Porto, Portugal)

Editors-in-Chief
Henrique Santos, University of Minho, Portugal
Sara Paiva, Instituto Politécnico de Viana do Castelo, Portugal
Associate Editors-in-Chief
Tiziana Campisi, University of Enna Kore, Italy
Nishu Gupta, Norwegian University of Science and Technology (NTNU), Gjøvik, Norway
Associate Editors (alphabetically)
Angelo Martella (University of Salento, Italy)
Ankit R. Patel (University of Minho, Portugal)
Marco Zappatore (University of Salento, Italy)
Mansha Swami (University of Texas at Arlington)
Nuksit Noomwongs (Chulalongkorn University, Thailand)
Sandra Cunha (University of Minho, Portugal)
Telmo Silva (University of Aveiro, Portugal)
Tiago Pereira (University of Minho, Portugal)
Advisory Board (alphabetically)
Bruno Kinyaga - The Chartered Institute of Logistics & Transport Internation and the Chartered Institute of Highways and Transportation (UK)
Area Editors (alphabetically)
Andrea Prati (University of Parma)
Anand Nayyar (Duy Tan University, Viet Nam)
Antonio Celesti (Universitá degli Studi di Messina)
Antonio Jara (University of Applied Sciences Western Switzerland)
Bin Guo (Northwestern Polytechnical University)
Burak Kantarci (University of Ottawa)
Dhananjay Singh (Hankuk University of Foreign Studies, South Korea)
Gautami Tripathi (School of Engineering Sciences and technology, Jamia Hamdard, India)
Luca Foschini (University of Bologna)
Mohd Abdul Ahad (Jamia Hamdard, India)
Nuksit Noomwongs, Chulalongkorn University, Thailand
Maria Fazio (Universitá degli Studi di Messina)
Philipp Leitner (University of Zurich)
Rajiv Ranjan (Newcastle University)
Sérgio Adriano Fernandes Lopes (University of Minho Portugal)
Yanmin Zhu (Shanghai Jiao Tong University)
Yuanqing Zheng (The Hong Kong Polytechnic University)

Recently Published
Most Popular

Development of a Smart Waste Management System with Automatic Bin Lid Control for Smart City Environment
Appears in:
sc 23(3):

Authors:
Abbas Abdullahi, Ameer Mohammed, Mathias Usman Bonet, Abdussalam El-Suleiman, Rabiu B. Ahmad, Teng David Chollom

Published:
18th Apr 2024

Abstract:
As cities worldwide transform into smart, interconnected urban environments, the management of municipal waste emerges as a pressing challenge. This paper, titled "Development of a Smart Waste Management System with Automatic Bin Lid Control," offers a sophisticated solution that integrates seamles…As cities worldwide transform into smart, interconnected urban environments, the management of municipal waste emerges as a pressing challenge. This paper, titled "Development of a Smart Waste Management System with Automatic Bin Lid Control," offers a sophisticated solution that integrates seamlessly within the concept of smart cities. This system harnesses the power of the Internet of Things (IoT) to optimize waste collection and enhance urban cleanliness. The primary aim of this project is to create a smart waste management system that extends beyond traditional waste bins. It introduces a network of intelligent waste containers equipped with automatic lid control mechanisms that operate based on real-time waste level data. When approaching these bins, the lid control mechanism automatically opens the bin only if the waste level is not full, thereby facilitating convenient waste disposal. In the context of smart cities, this innovative approach presents several advantages. It optimizes waste collection efficiency by prioritizing bins in need of immediate attention and ensures that waste containers are not prematurely emptied, reducing unnecessary waste disposal trips. Moreover, the system enables city authorities to gain insights into waste level trends, fostering data-driven and proactive waste management strategies for a cleaner, more sustainable urban environment.
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A Contemporary Approach to Designing and Implementing Electronic Voting Systems (EVS)
Appears in:
sc 23(3):

Authors:
Adams Addison Kobla Azameti, Samuel Chris Quist, Godfred Koi-Akrofi, Benedict C. Nwachuku

Published:
14th Mar 2024

Abstract:
This study delves into the potential of Electronic Voting Systems (EVS) in Ghana, to enhance transparent and trustworthy electoral processes. We presented a comprehensive framework highlighting trust, diaspora engagement, and human factors in voting. The study proposes a robust EVS framework for Gh…This study delves into the potential of Electronic Voting Systems (EVS) in Ghana, to enhance transparent and trustworthy electoral processes. We presented a comprehensive framework highlighting trust, diaspora engagement, and human factors in voting. The study proposes a robust EVS framework for Ghana, emphasizing trust and accountability, preventing electoral fraud, and encouraging African governments to invest in IT and collaborate with experts in e-government and e-voting systems. We commence with a detailed systems analysis, identifying specific electoral challenges in Ghana. An artifact is designed and developed, and the artifact's effectiveness is demonstrated through Design Science Research Methodology (DSRM). We evaluated its alignment with the desired solution for Ghana's electoral issues. We emphasize the potential of EVS to address electoral challenges in Ghana and underscore the importance of proactive government policies, IT investments, and collaboration with IT experts. User acceptance testing achieved a remarkable 98% approval rate, showcasing the feasibility of implementing EVS at the national level. This research underlines the pivotal role of EVS in Ghana and advocates for visionary government policies and investments in IT. These measures can modernize electoral systems, align them with international standards, and promote democratic progress while preventing electoral fraud in Ghana and other African nations to avoid condemnation and punishment of unconstitutional transfers of power that are being challenged by meticulously planned takeovers.

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Evaluation of Frameworks for MLOps and Microservices
Appears in:
sc 23(3):

Authors:
Igor Urias, Rogério Rossi

Published:
13th Nov 2023

Abstract:
Information Technology involves solutions for many kinds of industries and organizations, offering conditions for solving problems of different types and complexities. Artificial Intelligence, and more specifically applications that considers Machine Learning (ML) and Software Technology are part o…Information Technology involves solutions for many kinds of industries and organizations, offering conditions for solving problems of different types and complexities. Artificial Intelligence, and more specifically applications that considers Machine Learning (ML) and Software Technology are part of these solutions for solving problems, including solutions for solving problems that involve smart cities approach. In order to present frameworks that deal with the operationalization of Machine Learning and Software technology, this article is based on the study and evaluation of frameworks that involve Machine Learning Operations (MLOps) and microservices. Specifically, three frameworks that integrate ML algorithms with microservices are evaluated based on a bibliographical review in scientific journals of relevance to the area. From an exploratory analysis of these frameworks, it was possible to highlight their main objectives, their benefits, and their ability to offer solutions that favor the large-scale use of Machine Learning algorithms in problem solving. The main results are highlighted in the article through a qualitative analysis that considers six evaluation criteria, such as: capacity for sharing resources, scope of use by users, and use in a cloud environment. The results achieved are satisfactory since the work allows, through a qualitative view of the evaluated frameworks, a perspective of how the integration of MLOps and microservices has been carried out, its benefits and possible results achieved through this integration.
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Intelligent Aircraft Hangar Fire Detection and Location System Based on Wireless Sensor Network
Appears in:
sc 23(2): e5

Authors:
Abbas Abdullahi, Mathias Usman Bonet, Ubadike Osichinaka Chiedu, Ameer Muhammed, Ubadike Obunike Arinze

Published:
5th Oct 2023

Abstract:
Aircraft hangar fire detection systems are essential for protecting both the facility's assets and the contents of an aircraft. In terms of predicting a fire outbreak at an aircraft hangar, the Intelligent Aircraft Hangar Fire detection is considered as a high-performance system that is designed ba…Aircraft hangar fire detection systems are essential for protecting both the facility's assets and the contents of an aircraft. In terms of predicting a fire outbreak at an aircraft hangar, the Intelligent Aircraft Hangar Fire detection is considered as a high-performance system that is designed based on the principle of a wireless sensor network (WSN), which operates by employing three sensor nodes at different locations inside the aircraft hangar to transmit gas concentrations in the air to a base station (BS) and send the resulting data from the sensor nodes to a server for analysis and visualization of the risk level. The server uses Machine Learning (ML) techniques to analyze the acquired data along with the sample gas data and displays the report in real time. When the smoke (gas) concentration is high, the server predicts a fire outbreak by displaying a high concentration zone on the Graphic User Interface (GUI). By this, the server automatically issues a warning and identifies the potential fire location. The technology is built to protect aircraft assets, hangar buildings, and human (personnel) life. A crucial part in the early detection of fire is played by the intelligent system
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Applied Design and Methodology of Delivery Robots Based on Human–Robot Interaction in Smart Cities
Appears in:
sc 23(2):

Authors:
Wing Ting LAW, Kam Wah Fan, Ki Sing Li, Tiande Mo

Published:
26th Jun 2023

Abstract:
This paper proposes an optimised design of an autonomous delivery robot while adopting the latest technologies from the different branching fields of robotics, artificial intelligence, and tele-communication. As a prospective representation of a user-centric robot design, the proposal is design wit…This paper proposes an optimised design of an autonomous delivery robot while adopting the latest technologies from the different branching fields of robotics, artificial intelligence, and tele-communication. As a prospective representation of a user-centric robot design, the proposal is design with the major focus on maximizing users’ satisfaction throughout every human–robot interaction (HRI) touchpoints. By the use of sensor fusion techniques along with the deployment of an image-detection-based technique accompanying the point-cloud-detection-based path-planning methodology, the robot delivery would be optimised with effective path-planning and obstacle avoidance capability. With the extension of 5G connectivity, it is proposed that the real-time status update and video stream would enable greater efficiency in terms of remote monitoring and centralised robot administration.
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Propaganda Detection And Challenges Managing Smart Cities Information On Social Media
Appears in:
sc 23(2): e2

Authors:
Pir Noman Ahmad, Khalid Khan

Published:
30th Mar 2023

Abstract:
Misinformation, false news, and various forms of propaganda have increased as a consequence of the rapid spread of information on social media. The Covid-19 spread deeply transformed citizens' day-to-day lives due to the overview of new methods of effort and access to facilities based on smart tech…Misinformation, false news, and various forms of propaganda have increased as a consequence of the rapid spread of information on social media. The Covid-19 spread deeply transformed citizens' day-to-day lives due to the overview of new methods of effort and access to facilities based on smart technologies. Social media propagandistic data and high-quality information on smart cities are the most challenging elements of this study. As a result of a natural language processing perspective, we have developed a system that automatically extracts information from bi-lingual sources. This information is either in Urdu or English (Ur or Eng), and we apply machine translation to obtain the target language. We explore different neural architectures and extract linguistic layout and relevant features in the bi-lingual corpus. Moreover, we fine-tune RoBERTa and ensemble BiLSM, CRF and BiRNN model. Our solution uses fine-tuned RoBERTa, a pretrained language model, to perform word-level classification. This paper provides insight into the model's learning abilities by analyzing its attention heads and the model's evaluation results.
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Editorial: Welcome to the first issue of Volume 7 of the EAI Endorsed Transactions on Smart Cities
Appears in:
sc 23(1): e1

Author:
Mohammad Derawi

Published:
30th Mar 2023

Abstract:

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An Efficient Substitution Box design with a chaotic logistic map and Linear Congruential Generator for secure communication in Smart cities
Appears in:
sc 23(1): e6

Authors:
Muhammad Asim Hashmi, Noshina Tariq

Published:
23rd Mar 2023

Abstract:
The study provides a unique method for creating an efficient substitution box (S-box) for advanced encryption standards using a Chaotic Logistic Map (CLM) and a Linear Congruential Generator (LCG) (AES) for secure communications in a smart city. The Pseudo-Random Number Generator (PRNG), which is f…The study provides a unique method for creating an efficient substitution box (S-box) for advanced encryption standards using a Chaotic Logistic Map (CLM) and a Linear Congruential Generator (LCG) (AES) for secure communications in a smart city. The Pseudo-Random Number Generator (PRNG), which is further examined, is constructed using an extensive search of reasonable possibilities for the initial seed and set parameters. Using statistical testing, the performance analysis of the new S-box is assessed. Additionally, the resilience of differential, as well as linear cryptanalysis, is shown. It is derived using other features, including nonlinearity, the Bit Independence Criterion (BIC), and the Strict Avalanche Criterion (SAC). The suggested S-box has good potential and is usable for symmetric key cryptography, according to the features of the new S-cryptographic box.
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Investigation of Blockchain for COVID-19: A Systematic Review, Applications and Possible Challenges
Appears in:
sc 23(1): e5

Authors:
Shah Hussain Badshah , Muhammad Imad , Muhammad Abul Hassan , Naimullah , Shabir khan , Farhatullah , Sana Ullah , Syed Haider Ali

Published:
23rd Mar 2023

Abstract:
Smart city is emerging application in which many Internet of Things (IoT) devices are embedded to perform overall monitoring and perform processing automatically. In smart city the authenticity is key problem and many users in the in smart city has faced challenges during COVID-19. The COVID-19 epi…Smart city is emerging application in which many Internet of Things (IoT) devices are embedded to perform overall monitoring and perform processing automatically. In smart city the authenticity is key problem and many users in the in smart city has faced challenges during COVID-19. The COVID-19 epidemic, a deadly virus, first appeared in the globe in 2019. The World Health Organization (WHO) states that it is almost certainly feasible to contain this virus in its early phases if some precautions are taken. To contain the infection, most nations declared emergencies both inside and outside their borders and prohibited travel. Artificial intelligence and blockchain are being used in smart city applications to monitor the general condition in the nation and reduce the mortality rate. Blockchain has also made it possible to safeguard patient medical histories and provide epidemic tracking. AI also offers the ideal, wanted answer for correctly identifying the signs. The primary goal of this study is to fully investigate blockchain technology and artificial intelligence (AI) in relation to COVID-19. A case study that was recently developed to identify and networked pathogens acquired important knowledge and data. Additionally, AI that can handle massive quantities of medical data and perform difficult jobs will be able to reduce the likelihood of intricacy in data analysis. Lastly, we highlight the present difficulties and suggest potential paths for addressing the 19 diseases in future circumstances.
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An Intelligent Machine Learning based Intrusion Detection System (IDS) for Smart cities networks
Appears in:
sc 23(1): e4

Authors:
Muhammad Yaseen Ayub, Usman Haider, Ali Haider, Muhammad Tehmasib Ali Tashfeen, Hina Shoukat, Abdul Basit

Published:
8th Mar 2023

Abstract:
INTRODUCTION: Internet of Things (IoT) along with Cloud based systems are opening a new domain of development. They have several applications from smart homes, Smart farming, Smart cities, smart grid etc. Due to IoT sensors operating in such close proximity to humans and critical infrastructure, th…INTRODUCTION: Internet of Things (IoT) along with Cloud based systems are opening a new domain of development. They have several applications from smart homes, Smart farming, Smart cities, smart grid etc. Due to IoT sensors operating in such close proximity to humans and critical infrastructure, there arises privacy and security issues. Securing an IoT network is very essential and is a hot research topic. Different types of Intrusion Detection Systems (IDS) have been developed to detect and prevent an unauthorized intrusion into the network.
OBJECTIVES: The paper presents a Machine Learning based light, fast and reliable Intrusion Detection System (IDS).
METHODS: Multiple Supervised machine learning algorithms are applied and their results are compared. Algorithms applied include Linear Discriminant analysis, Quadratic Discriminant Analysis, XG Boost, KNN and Decision Tree.
RESULTS: Simulation results showed that KNN Algorithm gives us the highest accuracy, followed by XG Boost and Decision Tree which are not far behind.
CONCLUSION: A fast, secure and intelligent IDS is developed using machine learning algorithms. The resulting IDS can be used in various types of networks especially in IoT based networks.
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Implementation of Decentralized Blockchain E-voting
Appears in:
sc 20(10): e4

Authors:
Saad Moin Khan, Aansa Arshad, Gazala Mushtaq, Aqeel Khalique, Tarek Husein

Downloads:
7181

Abstract:
E-voting reduced the cost of election and provided convenience to some extent as compared to the traditional approach of pen and paper but it was considered to be unreliable as anyone having access to the machine physically can obstruct the machine and alter the votes. Also in order to control the …E-voting reduced the cost of election and provided convenience to some extent as compared to the traditional approach of pen and paper but it was considered to be unreliable as anyone having access to the machine physically can obstruct the machine and alter the votes. Also in order to control the entire procedure from electronic voting to electoral results and tracking the outcomes, a central system is required. Voters are not completely secure as vote can be targeted easily. It also possesses a great threat to the right to vote and transparency. This paper provides a solution for removing inconveniences from conventional elections using blockchain that has emerged as an exciting technology for various application due to its unique characteristics that outperform other technologies. The goal of this research is to establish a system for e-voting that is decentralized rather than centralized by using blockchain technology that guarantees protection to electorate’s identity, data transfer privacy and verifiability by an open and transparent voting process.
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Road Traffic RFID Pedestrians Detecting System for Vehicles
Appears in:
sc 20(9): e2

Authors:
Michal Balog, Angelina Iakovets, Stella Hrehova

Downloads:
2423

Abstract:
Safe road traffic, clean environment, environmentally friendly vehicles and eco-buildings are components of the world’s vision of immediate future supported by scientists and statesmen. Aspiration for healthy environment and sustainable development of technologies give life for idea of smart cities…Safe road traffic, clean environment, environmentally friendly vehicles and eco-buildings are components of the world’s vision of immediate future supported by scientists and statesmen. Aspiration for healthy environment and sustainable development of technologies give life for idea of smart cities which consist of all these visions towards modern world.
The aim of research was connection pedestrians and alarm system of the vehicle to prevent road incidents with the help of RFID technology. There were proposed vehicle RFID system and tags for pedestrians. System was designed on the basis of scientists’ research in this area. The main factors influencing the construction of proposed system were working range of the system and coverage width of the reading devices. Further were compared existent subsidiary systems for drivers
versus designed system. The study represents the expected effectiveness of the proposed RFID system as well as the ability to implement it even in old vehicle control systems.
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Oil and Gas supply chain optimization using Agent-based modelling (ABM) integration with Big Data technology
Appears in:
sc 20(9): e1

Authors:
Jamal Maktoubian, Mehran Ghasempour-Mouziraji, Mohebollah Noori

Downloads:
2131

Abstract:
The worldwide oil & gas industry is one of the world's most complex business networks, and is connected with almost every supply chain branch. It includes international and domestic transportation, materials handling, ordering and inventory visibility and control, import/export facilitation and soc…The worldwide oil & gas industry is one of the world's most complex business networks, and is connected with almost every supply chain branch. It includes international and domestic transportation, materials handling, ordering and inventory visibility and control, import/export facilitation and social network, etc. Traditionally, it has been influenced by big oilfield companies. However, in recent years the industry has been changing into a more heterogeneous and diverse network of businesses, and the oilfields are getting smaller and more diverse. One of the reason could be dwindling the oil reserves and growing specialized companies which are able to extract hydrocarbons; another reason is the restructuring and globalization of the entire business as well as some new technology implementing. Using agent-based modeling and big data technology integrity, we are able to optimize supply chain in oil and gas industries.
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Does collective consciousness compromise during epidemics and pandemics?
Appears in:
sc 21(13): e5

Authors:
Anoushka Khanna, Namita I, Rina Chakrabarti, Prem Kumar Indraganti

Downloads:
2119

Abstract:
The ongoing pandemic, COVID-19, has received unprecedented global attention. Though a pathogen is essentially the causative agent, the dynamics of the cause-effect in major events like the ongoing COVID-19 pandemic is not well understood. It is not even clear …The ongoing pandemic, COVID-19, has received unprecedented global attention. Though a pathogen is essentially the causative agent, the dynamics of the cause-effect in major events like the ongoing COVID-19 pandemic is not well understood. It is not even clear if the focused attention of the normal population impacts the safety and health of the exposed victims and in what way the different groups interact with each other, is also a big question. The idea of panpsychism and hierarchical consciousness suggests that consciousness functions beyond an individual and works at distinct levels such as family, community, state, territories, nations, and world. In this perspective, keeping in mind, the idea of hierarchical consciousness, the impact of higher consciousness in major events like the COVID-19 pandemic, on the well-being and fate of the exposed population along with the probable role of quantum entanglement, has been discussed.
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Application of real-time GIS analytics to support spatial intelligent decision-making in the era of big data for smart cities
Appears in:
sc 20(9): e3

Authors:
Mbongowo J. Mbuh, Peter Metzger, Peter Brandt, Kelli Fika, Monica Slinkey

Downloads:
1914

Abstract:
The rapid growth of the urban landscape from natural development, traffic congestion, crime, and waste management has become a challenge to the city dwellers and decision-makers, thus requiring smart and efficient ways to tackle these problems. The combination of big data and Internet of Things (Io…The rapid growth of the urban landscape from natural development, traffic congestion, crime, and waste management has become a challenge to the city dwellers and decision-makers, thus requiring smart and efficient ways to tackle these problems. The combination of big data and Internet of Things (IoT) is guiding local communities in achieving the goal of
building creative communities. This study aims to use real-time spatial analytics that integrates state–of–the art ICT approaches with interdisciplinary synthesis for smart solution making process across different sectors of the community. The use of real-time data and coordination of information from multiple city agencies enable policymakers to adjust management strategies in near real-time and can also provide citizens with situational awareness on emergency and non-emergency conditions. Using state-of-the-art technologies, and communication-based applications within the context of smart cities, three smart city examples were developed with the case study of Grand Forks, North Dakota. Using Web AppBuilder, a health resources inventory for the town of Grand Forks was designed with real-time integration of medical
information and treatment facilities within the community. For emergency response and preparedness, we developed and deployed a solution that combines information from all the sectors of the city using Survey123 for ArcGIS to collect data and display it on an operational dashboard with multiple visualizations for real-time monitoring of people, services, assets and analysis of events or activities. This operation offers real-time verification and can be an essential resource for team leaders and emergency operations centers. The information collected also provides the flexibility to show layers of information, and task force leaders have a view of their task forces and, consequently, the enrichment of life by making the
community safe, healthy, and sustainable.
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Emulating Vehicular Ad hoc Networks for Evaluation and Testing of Automotive Embedded Systems
Appears in:
sc 16(2): e2

Authors:
Manuel Schiller, Alois Knoll

Downloads:
1850

Abstract:
The evaluation and testing of cooperative applications based on Vehicular Ad hoc Networks (VANETs) in real testbeds is difficult due to the need for repeatable scenarios and large-scale experiments. Therefore a novel virtualization-based framework is presented to evaluate automotive software in the…The evaluation and testing of cooperative applications based on Vehicular Ad hoc Networks (VANETs) in real testbeds is difficult due to the need for repeatable scenarios and large-scale experiments. Therefore a novel virtualization-based framework is presented to evaluate automotive software in the context of emulated VANETs. The approach enables the precise and large-scale evaluation of real-world implementations through the synchronized execution of network and vehicle simulators as well as the applications encapsulated in virtual Electronic Control Units. This paper provides a detailed description of the framework's structure and its components as well as an validation of the proposed synchronization algorithm. The performance comparison with pure network simulation indicates that despite additional overhead large-scale experiments can be conducted without loss of accuracy.
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Critical Success Factors of Green Project Management for Sustainable Housing
Appears in:
sc 20(12): e5

Authors:
Dina Khater, A. Samer Ezeldin, Medhat Elshazly

Downloads:
1594

Abstract:
The growing demand for green construction, which is associated with increased perceptions of the risks associated with going green, highlights the need for a standard or benchmark that should be identified for project management practices to ensure successful sustainable urban development, assess i…The growing demand for green construction, which is associated with increased perceptions of the risks associated with going green, highlights the need for a standard or benchmark that should be identified for project management practices to ensure successful sustainable urban development, assess its progress and report the results. The article argues that this would require a rephrasing of the project management processes as the execution of green building projects requires changes to the traditional project management aspects. Therefore, the article will address the significant changes needed for project management practices that are appropriate to provide procedural parameters to a green building project. Based on this perspective, the article explores the integration of concepts of sustainability into knowledge areas and processes of project management and how it can be used as a tool to sustainably implement the construction projects. The article results to reach the critical success factors of a work plan which is introduced as a Guide Model. The introduced Guide Model was validated to ensure the integration of sustainability into the management of sustainable development and fast track mega projects, called Green Project Management (GPM) with Egyptian sustainable development in the housing sector as the case study.
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IoT Applications to Smart Campuses and a Case Study
Appears in:
sc 17(5): e4

Author:
D. Minoli

Downloads:
1557

Abstract:
Internet of Things (IoT) concepts are now being broadly investigated for actual deployment initiatives. Although ecosystem-wide architectures and standards are still slowly evolving and/or still lacking, some progress is being made; standardization fosters flexibility, cost-effectiveness, and ubiqu…Internet of Things (IoT) concepts are now being broadly investigated for actual deployment initiatives. Although ecosystem-wide architectures and standards are still slowly evolving and/or still lacking, some progress is being made; standardization fosters flexibility, cost-effectiveness, and ubiquitous deployment. Applications range from infrastructure and critical-infrastructure support (for example smart grid, smart city, smart building, and transportation), to end-user applications such as e-health, crowdsensing, and further along, to a multitude of other applications where only the imagination is the limit. This article discusses a specific example of an IoT application supporting Smart Campuses. Smart Campuses are part of a continuum that spans cities at the large-scale end to smart buildings at the small-scale end, and encompass universities, business parks, hospitals, housing developments, correctional facilities, and other real estate environments. The specific Use Case example covered in this article relates to an actual project to automate some key functions at a set of large campuses, but the nature of the campus is not directly revealed. After a review of the applicable IoT and control technologies, this Best Practices article describes technological solutions that were employed to support the requisite control functions and serves as an example for the applicability of IoT to Smart Campus applications.
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An Open Agent-Based Model to Simulate the Effect of WOM Marketing Campaigns
Appears in:
sc 16(4): e3

Authors:
Paul Leger, Manuela López, Carmen Hidalgo-Alcázar, Hiroaki Fukuda

Downloads:
1531

Abstract:
Word-Of-Mouth (WOM) is the opinion of consumers about a product. There is currently a clear trend in the use of WOM to diffuse information about a new product, known as WOM marketing campaigns. Marketing researchers are studying the impact of the different types of these campaigns has. The difficul…Word-Of-Mouth (WOM) is the opinion of consumers about a product. There is currently a clear trend in the use of WOM to diffuse information about a new product, known as WOM marketing campaigns. Marketing researchers are studying the impact of the different types of these campaigns has. The difficulty in getting data and isolating the effect that is analyzed limits the research of marketers in this topic. Lastly, some simulation models based on agents have overcome previous difficulty. However, these models are ad-hoc and specific solutions for every study. This poster proposes an open implementation of an agent-based model to simulate different scenarios of WOM marketing campaigns. Through customizations, this proposal will allow marketing researchers to test WOM marketing campaigns in different scenarios.
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Computational Viability of Fog Methodologies in IoT Enabled Smart City Architectures-A Smart Grid Case Study
Appears in:
sc 18(7): 3

Authors:
Md. Muzakkir Hussain, Mohammad Saad Alam, M.M. Sufyan Beg

Downloads:
1436

Abstract:
The gradual evolution in the Information Communication Technology (ICT) support of Smart City (SC) architecture leveraged with meshes of Internet of Things (IoT) creates and welcomes research and investment efforts from academia, R&Ds and policymakers. The IoT utilities are being deployed at eve… The gradual evolution in the Information Communication Technology (ICT) support of Smart City (SC) architecture leveraged with meshes of Internet of Things (IoT) creates and welcomes research and investment efforts from academia, R&Ds and policymakers. The IoT utilities are being deployed at every layers of a typical SG backbone namely Application layer, Energy layer and Communication layer. The geo-distributed clusters of IoT “objects” produce galactic volume of data that exacerbates the need to make a paradigm shift from centralized data center based processing to a hybrid model that supports both in situ as well as cloud based storage and computational resources. To combat such SC issues, Fog Computing (FC) emerges as a promising solution, which pushes the computation resources onto the network edge nodes. This work investigates the high performance of Fog Computing over generic cloud computing in terms of metrics viz. latencies, power consumption etc, through a Smart Grid (SG) use-case. Through an operational cost optimization framework, the work comprehends the suitability of fog methodologies to make a synergistic interplay with the core centered clouds thus empowering a wide breed of real-time and latency free services. Finally, an overview of the core orchestration issues, challenges, and future research directions are presented for FC enabled SCs.
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Publisher: EAI
ISSN: 2518-3893
Number of Volumes: 7

Last Published: 2023-11-13