Wireless Rechargeable Sensor Networks for Internet of Things

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.

• 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.