This book discusses the challenges in the convergence of technologies as the Internet of Things (Io T) evolves. These include sensing, computing, information processing, networking, and controlling intelligent technologies. The contributors first provide a survey of various assessment and evaluation approaches available for successful convergence. They then go on to cover several operational ideas to apply. The contributors then discuss the challenges involved bridging gaps in computation and the communication process, hidden networks, intelligent decision making, human-to-machine perception and large-scale Io T environments. The contributors aim to provide the reader an overview of trends in Io T in terms of performability and traffic modeling and efforts that can be spent in assessing the graceful degradation in Io T paradigms.
- Provides a survey of Io T assessment and evaluation approaches;
- Covers new and innovative operational ideas that applyto the Io T industry and the industries it affects;
- Includes chapters from researchers and industry leaders in Io T from around the world.
Mục lục
Chapter1: Performability Analysis Methods for Clustered WSNs as Enabling Technology for Io T.- Chapter2: Practical Performability Assessment for Zigbee-based Sensors in the Io T Era.- Chapter3: Evaluation of Simulation Approaches and Need for MDE in Energy Effeciency, Performance and Availability Assessment of Io T.- Chapter4: False Data Injection Attacks in Internet of Things.- Chapter5: Energy Efficient Clustering for Wireless Sensor Devices in Internet of Things.- Chapter6: Toward optimum topology protocol in health monitoring.- Chapter7: Internet of Things (Io T) Considerations, Requirements, and Architectures for Disaster Management System.- Chapter8: Internet of Things and Statistical Analysis.- Chapter9: Internet of Vehicle (Io V) Applications in Expediting the Implementation of Smart Highway of Autonomous Vehicle: A Survey.- Chapter10: Virtual Coordinate Systems and Coordinate-based Operations for Io T.- Chapter11: Small Data in Io T: An MCS Perspective.
Giới thiệu về tác giả
Prof. Dr. FADI AL-TURJMAN received his Ph.D. degree in computer science from Queen’s University, Kingston, ON, Canada, in 2011. He is a leading authority in the areas of smart/cognitive, wireless and mobile networks architecture, protocols, deployments, and performance evaluation. His record spans more than 170 publications in journals, conferences, patents, books, and book chapters, in addition to numerous keynotes and plenary talks at flagship venues, including the IEEE ICC, LCN, and GLOBECOM conferences. He is a full professor at Antalya Bilim University, in Turkey. He has received several recognitions and best papers’ awards at top international conferences, and led a number of international symposia and workshops in flagship Com Soc conferences. He is the sole author for 4 recently published books about cognition and wireless sensor networks’ deployments in smart environments with Taylor and Francis, CRC New York (a top tier publisher in the area). He is serving as the Lead Guest Editor in several journals including the IET Wireless Sensor Systems (WSS), MDPI Sensors and Wiley. He is also the publication chair for the IEEE International Conf. on Local Computer Networks (LCN’18).
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