Biologically-Inspired Energy Harvesting through Wireless Sensor Technologies

Nonfiction, Science & Nature, Science, Physics, Energy, Technology, Engineering
Cover of the book Biologically-Inspired Energy Harvesting through Wireless Sensor Technologies by , IGI Global
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Author: ISBN: 9781466697942
Publisher: IGI Global Publication: April 5, 2016
Imprint: Information Science Reference Language: English
Author:
ISBN: 9781466697942
Publisher: IGI Global
Publication: April 5, 2016
Imprint: Information Science Reference
Language: English
The need for sustainable sources of energy has become more prevalent in an effort to conserve natural resources, as well as optimize the performance of wireless networks in daily life. Renewable sources of energy also help to cut costs while still providing a reliable power sources. Biologically-Inspired Energy Harvesting through Wireless Sensor Technologies highlights emerging research in the areas of sustainable energy management and transmission technologies. Featuring technological advancements in green technology, energy harvesting, sustainability, networking, and autonomic computing, as well as bio-inspired algorithms and solutions utilized in energy management, this publication is an essential reference source for researchers, academicians, and students interested in renewable or sustained energy in wireless networks.
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
The need for sustainable sources of energy has become more prevalent in an effort to conserve natural resources, as well as optimize the performance of wireless networks in daily life. Renewable sources of energy also help to cut costs while still providing a reliable power sources. Biologically-Inspired Energy Harvesting through Wireless Sensor Technologies highlights emerging research in the areas of sustainable energy management and transmission technologies. Featuring technological advancements in green technology, energy harvesting, sustainability, networking, and autonomic computing, as well as bio-inspired algorithms and solutions utilized in energy management, this publication is an essential reference source for researchers, academicians, and students interested in renewable or sustained energy in wireless networks.

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