9781785617362 - energy harvesting in wireless sensor networks and internet of things (control, robotics and sensors) (4 Ergebnisse)

Energy Harvesting in Wireless Sensor Networks and Internet of Things (Control, Robotics and Sensors)
Sprache: Englisch
Verlag: The Institution of Engineering and Technology 2022
- Hardcover
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Zustand: New. In.

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Hardcover. Zustand: Brand New. 300 pages. 9.25x6.25x0.75 inches. In Stock.

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Zustand: New. KlappentextThe energy efficiency paradigm is a major bottleneck for the development of wireless sensor networks (WSNs) and Internet of Things (IoT) architectures and technologies. This edited book presents comprehensive coverage of en.

Sprache: Englisch
Verlag: Institution Of Engineering & Technology Feb 2022 2022
- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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Buch. Zustand: Neu. Neuware - 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 W…SN 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.