From Internet of Things to Smart Cities: Enabling Technologies explores the information and communication technologies (ICT) needed to enable real-time responses to current environmental, technological, societal, and economic challenges. ICT technologies can be utilized to help with reducing carbon emissions, improving resource utilization efficiency, promoting active engagement of citizens, and more.
This book aims to introduce the latest ICT technologies and to promote international collaborations across the scientific community, and eventually, the general public. It consists of three tightly coupled parts. The first part explores the involvement of enabling technologies from basic machine-to-machine communications to Internet of Things technologies. The second part of the book focuses on state of the art data analytics and security techniques, and the last part of the book discusses the design of human-machine interfaces, including smart home and cities.
- Provides an extended literature review of relevant technologies, in addition to detailed comparison diagrams, making new readers be easier to grasp fundamental and wide knowledge
- Contains the most recent research results in the field of communications, signal processing and computing sciences for facilitating smart homes, buildings, and cities
- Includes future research directions in Internet of Things, smart homes, smart buildings, smart grid, and smart cities
- Presents real examples of applying these enabling technologies to smart homes, transportation systems and cities
With contributions from leading experts, the book follows an easy structure that not only presents timely research topics in-depth, but also integrates them into real world applications to help readers to better understand them.
Table of Contents
From Machine-to-Machine Communications to Internet of Things. Cellular Technologies: LTE and 5G. Operating on the License-Free Bands: Wifi, DSRC, Zigbee, and Bluetooth. Network Management and Efficient Architectures. Big Data: Processing, Storage and Analytics. Big Data Processing with High-Performance Computing. Big Data Analytics Platform. Big Data Storage on Cloud. Human Machine Interface. Speech and Audio Interfaces. Multimodal Interfaces for IoT. Inclusive Design Practices for Connected Environments. Security and Privacy. Smart Meter Privacy. Wireless Network Security. Coding Strategies for Secure Communications. Towards Smart World: From Homes to Cities. Smart Home Control Systems. Intelligent Transportation Systems and Internet of Vehicles. Smart City Framework through Internet of Things.
Hongjian Sun (S’07-M’11-SM’15) received his Ph.D. degree from the University of Edinburgh (U.K.) in 2011 and then took postdoctoral positions at King’s College London (U.K.) and Princeton University (USA). Since 2013, he has been with the University of Durham, U.K., as a Lecturer (now Assistant Professor) in Smart Grid. His research mainly focuses on: (i) Smart grid: communications and networking, (ii) Smart grid: demand side management and demand response, and (iii) Smart grid: renewable energy sources integration. He is on the Editorial Board of the Journal of Communications and Networks, and EURASIP Journal on Wireless Communications and Networking. He also served as Guest Editor for IEEE Communication Magazine for 2 Feature Topics. To date, he has published over 80 papers in refereed journals and international conferences; He has made contributions to and coauthored the IEEE 1900.6a-2014 Standard; He has published five book chapters, and edited IET book "Smarter Energy: from Smart Metering to the Smart Grid" (ISBN: 978-1-78561-104-9).
Chao Wang received the B.E. degree from the University of Science and Technology of China, China, in 2003 and the M.Sc. and Ph.D. degrees from the University of Edinburgh, U.K., in 2005 and 2009, respectively. In 2008, he was a Visiting Student Research Collaborator with Princeton University, USA. From 2009 to 2012, he was a Postdoctoral Research Associate with KTH-Royal Institute of Technology, Sweden. He is currently an Associate Professor with the School of Electronics and Information Engineering, Tongji University, China. His research interests mainly lie in information/communication theory and signal processing for wireless networks, as well as their applications to next-generation mobile communication systems. So far Dr. Wang has authored/co-authored 50+ scientific papers. In 2014, he was awarded as the Shanghai Pujiang Talent by the Shanghai government. He was invited to serve as the symposium TPC chair at CHINACOM’15, workshop Panel Co-Chair at IEEE VTC’16 Spring, Publicity Co-Chair at IEEE CYBCONF’17, and TPC member at 23 international conferences.