Energy Harvesting in Wireless Sensor Networks and Internet of Things (Hardcover)

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. This edited book comprehensively covers energy harvesting sources and techniques that can be used for WSN and IoT systems. The authors cover energy harvesting, energy management and energy prediction models to maximize the energy harvested. They also identify major architecture advances to develop cost-effective, efficient, and reliable energy harvesting systems. This is a useful reference for researchers, engineers, practitioners, designers, and R&D staff involved in the development of energy harvesting models, architectures and technologies for practical deployments in WSN and IoT environments. The book will be of interest to professionals involved in developing energy harvesting systems, industry practitioners, and manufacturers in IoT, sensing, and energy harvesting technologies. Finally, it will also be a useful reference for graduate, PhD and postdoctoral students following courses in WSNs, IoT and energy harvesting technologies.

General

Imprint:	Institution Of Engineering And Technology
Country of origin:	United Kingdom
Series:	Control, Robotics and Sensors
Release date:	February 2022
First published:	2022
Editors:	Faisal Karim Shaikh (Professor) • Sherali Zeadally (Professor)
Dimensions:	234 x 156mm (L x W)
Format:	Hardcover
Pages:	328
ISBN-13:	978-1-78561-736-2
Categories:	Books > Professional & Technical > Energy technology & engineering > Electrical engineering > Energy conversion & storage Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > WAP (wireless) technology Promotions
LSN:	1-78561-736-2
Barcode:	9781785617362

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