Название: Energy Harvesting in Wireless Sensor Networks and Internet of ThingsАвтор: Faisal Karim Shaikh, Sherali Zeadally
Издательство: The Institution of Engineering and Technology
Серия: Control, Robotics and Sensors
Год: 2022
Страниц: 327
Язык: английский
Формат: pdf (true), epub
Размер: 18.4 MB
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.
Recently, we have seen massive deployments of wireless sensor networks (WSNs) in the physical environment to gather data to better understand the environment. WSNs are composed of a distributed network of similar, low powered, low storage, low processing, and low wireless communication range nodes. The nodes are battery operated with a limited lifespan and therefore replacing the batteries becomes a cumbersome process. Typically, the data in WSNs is gathered at the base station for onward transmission and processing by the users. Generally, the major source of power drain is associated with the wireless communication between the nodes.
On the other hand, an increasing number of nodes (things) are being connected to the Internet as they become more advanced, compact, and affordable. The network of Internet-connected things is generally referred to as the Internet of Things (IoT). The IoT ecosystem includes a wide range of devices with heterogeneous networking, computing, and storage capabilities. IoT enables the exchange of various types of information (e.g., sensor data, multimedia data) between the things. The things associated with IoT range from sensors, actuators, and mobile phones to humans, vehicles, and so on. Again, the main limiting factor for IoT is battery-operated things. The batteries need to be replaced after some time.
Therefore, energy harvesting (also known as energy scavenging) from the environment to power the nodes is a better option compared to battery-powered nodes/things along with effective energy management schemes. There are many natural and human-made resources present in the environment that can be utilized for energy harvesting. The various resources in the environment which can be used to convert into electrical power include motion, light, heat, electromagnetics, radio frequency, chemical, mechanical, and the human body.
This book covers various energy harvesting aspects for WSNs and IoT. Specifically, the book is divided into four sections, which cover the broad spectrum of audience interested in energy harvesting mechanisms for WSNs and IoT. The first section deals with energy harvesting from ambient environments such as thermal, vibrational, and the human body. The second section specifically covers radio frequency to be utilized for energy harvesting purposes for WSNs and IoT. Radio frequency is a suitable choice for energy harvesting because WSNs and IoT inherently utilize radio frequency for information transfer. The third section covers recent trends in energy harvesting that have been recently explored such as UAV-enabled networks, simultaneous information and power transfer, efficient computing mechanisms, and utilization of software models. The last section focuses on security aspects for energy harvesting enabled WSN and IoT.
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.
Contents:
Preface
Part I Energy harvesting from ambient environments
1 Thermal energy harvesting for wireless sensor networks
2 Auxetic designs to improve ambient strain energy harvesting for WSN/IoT
3 Energy harvesting from human body
Part II RF energy harvesting
4 Cognitive and energy harvesting-based D2D communication in wireless multimedia sensor networks underlying multi-tier cellular networks
5 A systematic study on the metamaterial microstrip antenna design for self-powered wireless systems
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
7 UAV-assisted energy harvesting for WSNs/IoT networks
8 A review on resonant beam communication with simultaneous wireless data transmission and energy harvesting techniques
9 Simultaneous wireless information and power transfer in Internet of Things
10 Energy-efficient computing for future IoT applications
11 Intelligent MapReduce technique for energy harvesting through IoT devices
Part IV Security and energy harvesting
12 Hide-and-detect: forwarding misbehaviors, attacks, and countermeasures in energy harvesting-motivated networks
Index
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