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Biologically-Inspired Energy Harvesting through Wireless Sensor Technologies

Biologically-Inspired Energy Harvesting through Wireless Sensor Technologies

Copyright: © 2016 |Pages: 318
ISBN13: 9781466697928|ISBN10: 146669792X|EISBN13: 9781466697935
DOI: 10.4018/978-1-4666-9792-8
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MLA

Ponnusamy, Vasaki, et al., editors. Biologically-Inspired Energy Harvesting through Wireless Sensor Technologies. IGI Global, 2016. https://doi.org/10.4018/978-1-4666-9792-8

APA

Ponnusamy, V., Zaman, N., Low, T. J., & Amin, A. H. (Eds.). (2016). Biologically-Inspired Energy Harvesting through Wireless Sensor Technologies. IGI Global. https://doi.org/10.4018/978-1-4666-9792-8

Chicago

Ponnusamy, Vasaki, et al., eds. Biologically-Inspired Energy Harvesting through Wireless Sensor Technologies. Hershey, PA: IGI Global, 2016. https://doi.org/10.4018/978-1-4666-9792-8

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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.

Table of Contents

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Front Materials
Title Page
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Copyright Page
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Advances in Environmental Engineering and Green Technologies (AEEGT) Book Series
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Editorial Advisory Board and List of Reviewers
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Foreword
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Preface
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Acknowledgment
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Chapters
Introducing Biologically-Inspired Computing and Its Perspectives
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Presenting Energy Harvesting in WSN and Its Perspectives
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Exploring and Illustrating the Current and Future Trends in Combining Biologically-Inspired Computing with Energy Harvesting in WSN and Energy Transmission
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Back Materials
Compilation of References
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About the Contributors
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Index
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