Handbook of Smart Cities
Description
This handbook provides a glimpse of the research that is underway in smart cities, with an examination of the relevant issues. It describes software infrastructures for smart cities, the role of 5G and Internet of things in future smart cities scenarios, the use of clouds and sensor-based devices for monitoring and managing smart city facilities, a variety of issues in the emerging field of urban informatics, and various smart city applications.
Handbook of Smart Cities includes fifteen chapters from renowned worldwide researchers working on various aspects of smart city scale cyber-physical systems. It is intended for researchers, developers of smart city technologies and advanced-level students in the fields of communication systems, computer science, and data science. This handbook is also designed for anyone wishing to find out more about the on-going research thrusts and deployment experiences in smart cities. It is meant to provide a snapshot of the state-of-the-art at the time of its writing in several software services and cyber infrastructures as pertinent to smart cities.
This handbook presents application case studies in video surveillance, smart parking, and smart building management in the smart city context. Unique experiences in designing and implementing the applications or the issues involved in developing smart city level applications are described in these chapters. Integration of machine learning into several smart city application scenarios is also examined in some chapters of this handbook.
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Persons
Muthucumaru Maheswaran
Muthucumaru Maheswaran is an associate professor in the School of Computer Science and Department of Electrical and Computer Engineering at McGill University. He got a PhD in Electrical and Computer Engineering from Purdue University, West Lafayette and a BScEng degree in Electrical and Electronic Engineering from the University of Peradeniya, Sri Lanka. He has researched various issues in scheduling, trust management, and scalable resource discovery mechanisms in Clouds and Grids. Many papers he co-authored in resource management systems have been highly cited by other researchers in the area. Recently, his research has focused in security, resource management, and programming frameworks for Cloud of Things. He has supervised the completion of 8 PhD theses in the above areas. He has published more than 120 technical papers in major journal, conferences, and workshops. He holds a US patent in wide-area content routing.
Elarbi Badidi
Dr. Elarbi Badidi is Associate Professor at the College of Information Technology (CIT) of the United Arab Emirates University (UAEU). He received his undergraduate degree in electrical engineering and M.Sc. in computer science from École Mohammedia des Ingénieurs, Rabat, Morocco, and the Ph.D. in computer science from Université de Montréal, Canada. Before joining the UAEU, He served for three years as a bioinformatics group leader at the biochemistry department of Université de Montréal.
Dr. Elarbi has over ten years of research experience in service-oriented architecture, cloud computing, and context-aware systems, focusing on quality of service management, service level agreement management, quality of context (QoC) negotiation, QoC based selection, and data-as-a-service provisioning. He has published over sixty peer-reviewed papers in reputed international journals and conferences and eight book chapters. He served on the technicalprogram committees of many international conferences and as a reviewer of several journals.
His current research interests lie in the areas of cloud computing, Internet of Things (IoT), big data, data streams processing, and data analytics.
