Overview
- Presents recent advances and future challenges of computational intelligence (CI) in wireless sensor networks
- Surveys the state of the art in CI applied to challenging real-world problems in the wireless sensor networks realm
- Is useful for researchers, network managers, industry experts, academicians, and practitioners who all benefit from the wide spectrum of successful application domains
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 676)
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Table of contents (8 chapters)
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Front Matter
Keywords
About this book
This book emphasizes the increasingly important role that Computational Intelligence (CI) methods are playing in solving a myriad of entangled Wireless Sensor Networks (WSN) related problems. The book serves as a guide for surveying several state-of-the-art WSN scenarios in which CI approaches have been employed. The reader finds in this book how CI has contributed to solve a wide range of challenging problems, ranging from balancing the cost and accuracy of heterogeneous sensor deployments to recovering from real-time sensor failures to detecting attacks launched by malicious sensor nodes and enacting CI-based security schemes. Network managers, industry experts, academicians and practitioners alike (mostly in computer engineering, computer science or applied mathematics) benefit from th e spectrum of successful applications reported in this book. Senior undergraduate or graduate students may discover in this book some problems well suited for their own research endeavors.
Editors and Affiliations
Bibliographic Information
Book Title: Computational Intelligence in Wireless Sensor Networks
Book Subtitle: Recent Advances and Future Challenges
Editors: Ajith Abraham, Rafael Falcon, Mario Koeppen
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-319-47715-2
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-47713-8Published: 18 January 2017
Softcover ISBN: 978-3-319-83804-5Published: 13 July 2018
eBook ISBN: 978-3-319-47715-2Published: 11 January 2017
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XV, 210
Number of Illustrations: 91 b/w illustrations
Topics: Computational Intelligence, Artificial Intelligence, Communications Engineering, Networks