Wireless Rechargeable Sensor Networks for Internet of Things Theories and Technical Paradigms

In traditional Internet of Things (IoT) systems, sensor nodes are usually powered by batteries, and their limited battery power leads to limited system lifetimes and prevents the large-scale promotion of IoT; this is commonly referred to as the energy bottleneck. The subsequent emergence of Wireless Power Transmission (WPT) technology enables IoT nodes to replenish their energy through wireless charging, giving rise to the novel network paradigm of Wireless Rechargeable Sensor Networks (WRSNs). This has made it possible to solve the IoT energy bottleneck and extend IoT system lifetimes.

This book elaborates on the theory and technical paradigms of WRSNs. The topics discussed include the energy efficiency, schedulability and reliability of WRSNs, as well as their potential intersections with other fields. Specifically, this book 1) proposes the theory of optimal scheduling of spatio-temporal correlation power supply for large-scale WRSNs; 2) analyses in depth the shortcomings and hidden risks of existing WRSN hardware and protocols, and proposes the concept of charging attack and the theory of trusted scheduling; and 3) introduces a radio electromagnetic signal propagation model into the design of charging deployment methods in complex environments, revealing a new dimension of charging efficiency optimization.

The methods described here will lay the theoretical foundation for extending WRSN lifetimes and provide a new theoretical model for WRSN security and reliability, accelerating the development of these networks from multiple perspectives.

Part I. Foundations of Wireless Sensor Networks.- Chapter 1. Brief Introduction to Wireless Sensor Networks.- Chapter 2. Brief Introduction to Wireless Power Transfer.- Part II. Energy Efficient Scheduling.- Chapter 3. Scheduling Optimization Methodology.- Chapter 4. Priority-Based Scheduling.- Chapter 5. Collaborative Scheduling.- Part III. Advanced Topics and Interdisciplinary Insights.- Chapter 6. Advanced Charging Models in WRSNs.- Chapter 7. Novel Theory and method in WRSNs.

Prof. Chi Lin received B.E. and Ph.D. degrees from Dalian University of Technology, Dalian, China, in 2008 and 2013, respectively. He has been an assistant professor with the School of Software, Dalian University of Technology, since 2014. Since 2017, he has been an associate professor with the School of Software, Dalian University of Technology. He has authored more than 50 scientific papers in several journals and conferences, including MobiCom, INFOCOM, SECON, ICDCS, ICNP, ICPP, IEEE/ACM ToN, IEEE TMC, ACM TECS, ACM TOSN, IEEE TVT, and special issue of SCIENCE. His research interests include pervasive computing and wireless sensor networks. In 2015, he was the recipient of the ACM Academic Rising Star.

Dr. Yu Sun received B.E. and M.E. degrees from Dalian University of Technology, Dalian, China, in 2018 and 2020, respectively. He is currently studying Ph.D. degree in School of Software, Dalian University of Technology. His research interests cover wireless power transfer and wireless rechargeable sensor networks. He has authored nearly 10 scientific papers in several journals and conferences, including INFOCOM, IEEE/ACM ToN, ICNP, SECON, ICPP, and CN.

Dr. Wei Yang received B.E. degree in the School of Software from Zhengzhou University, Zhengzhou, China, in 2020. He is currently studying Eng.D. degree in the School of Software, Dalian University of Technology, Dalian, China. His research interests focus on wireless charging and wireless sensor networks. He has authored several scientific papers in top-ranked journals and conferences, including IEEE TMC, IEEE/ACM ToN, ICDCS, etc.