Wireless Rechargeable Sensor Networks 2019

• Other Authors: Yu, Chang Wu (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
• Subjects: Information technology industries; wireless rechargeable sensor networks; multiple mobile chargers; charge scheduling; genetic algorithm; sustainable networks; Wireless Sensor Network; Dijkstra routing algorithm; load balance; power consumption; energy harvesting; wireless sensor network; environmental monitoring; clustering; energy efficiency; network lifetime; transmission power; distributed networks; fingerprinting; localization; ray-tracing; wireless sensors; hybrid method; wireless charger deployment
• Online Access: DOAB: download the publication; DOAB: description of the publication

Wireless sensor networks, due to their various applications in many fields and limited power consumption, have attracted much attention recently. Most previous methods have focused on providing energy-saving strategies to elevate the lifetime of sensor networks. Another aggressive but different approach is to wirelessly recharge sensor nodes to increase the lifetime of the sensor networks. This book collects articles that address state-of-the-art technologies and new developments for wireless rechargeable sensor networks (WRSNs), including the latest hot topics such as charger deployment, charger scheduling, wireless energy transfer, mobile charger design, energy-harvesting technique, and energy provisioning. We believe that the accepted articles present the most up-to-date progress in algorithms and theory for robust wireless sensor networks with respect to different networking problems.