Energy Harvesting in Wireless Sensor Networks and Internet of Things
Energy Harvesting in Wireless Sensor Networks and Internet of Things
edited by Faisal Karim Shaikh and Sherali Zeadally
The Institution of Engineering and Technology, 2022 eISBN: 978-1-78561-737-9 | Cloth: 978-1-78561-736-2 Library of Congress Classification TK7872.D48E55 2022 Dewey Decimal Classification 621.042
ABOUT THIS BOOK | TOC
ABOUT THIS BOOK
The energy efficiency paradigm associated with Wireless Sensor Networks (WSNs) and the Internet of Things (IoT) is a major bottleneck for the development of related technologies. To overcome this limitation, the design and development of efficient and high-performance energy harvesting systems for WSN and IoT environments are being explored.
TABLE OF CONTENTS
Part I: Energy harvesting from ambient environments
Chapter 1: Thermal energy harvesting for wireless sensor networks
Chapter 2: Auxetic designs to improve ambient strain energy harvesting for WSN/IoT
Chapter 3: Energy harvesting from human body
Part II: RF energy harvesting
Chapter 4: Cognitive and energy harvesting-based D2D communication in wireless multimedia sensor networks underlying multi-tier cellular networks
Chapter 5: A systematic study on the metamaterial microstrip antenna design for self-powered wireless systems
Chapter 6: On the trade-off of RF energy harvesting and transmission intervals in cognitive IoT network using fuzzy logic
Part III: Emerging trends in energy harvesting
Chapter 7: UAV-assisted energy harvesting for WSNs/IoT networks
Chapter 8: A review on resonant beam communication with simultaneous wireless data transmission and energy harvesting techniques
Chapter 9: Simultaneous wireless information and power transfer in Internet of Things
Chapter 10: Energy-efficient computing for future IoT applications
Chapter 11: Intelligent MapReduce technique for energy harvesting through IoT devices
Part IV: Security and energy harvesting
Chapter 12: Hide-and-detect: forwarding misbehaviors, attacks, and countermeasures in energy harvesting-motivated networks