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Computational Intelligence in Wireless Sensor Networks

Recent Advances and Future Challenges

  • 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)

  1. Front Matter

    Pages i-xv
  2. A Genetic Programming Approach to Cost-Sensitive Control in Wireless Sensor Networks

    • Afsoon Yousefi Zowj, Josh C. Bongard, Christian Skalka
    Pages 1-31
  3. A Study on Performance of Hill Climbing Heuristic Method for Router Placement in Wireless Mesh Networks

    • Evjola Spaho, Alda Xhafa, Donald Elmazi, Fatos Xhafa, Leonard Barolli
    Pages 33-48
  4. An Automated Irrigation System Based on a Low-Cost Microcontroller for Tomato Production in South India

    • Prabu Mohandas, Arun Kumar Sangaiah, Ajith Abraham, Jerline Sheebha Anni
    Pages 49-71
  5. Artificial Neural Network Based Real-Time Urban Road Traffic State Estimation Framework

    • Ayalew Belay Habtie, Ajith Abraham, Dida Midekso
    Pages 73-97
  6. Attack Detection Using Evolutionary Computation

    • Martin Stehlik, Vashek Matyas, Andriy Stetsko
    Pages 99-129
  7. Planning Robust Sensor Relocation Trajectories for a Mobile Robot with Evolutionary Multi-objective Optimization

    • Benjamin Desjardins, Rafael Falcon, Rami Abielmona, Emil Petriu
    Pages 179-210

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

  • Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, USA

    Ajith Abraham

  • Research & Engineering Division,Larus Technologies 170 Laurier Ave West - Suite 310,, Larus Technologies and School of Electrical Engineering and Computer Science, University of Ottawa 800 King Edward Ave, Ottawa, Ontario, Canada K1N 6N5, Ottawa, Canada

    Rafael Falcon

  • Department of Computer Science and Electronics, Kyushu Institute of Technology Graduate School of Creative Informatics, Fukuoka, Japan

    Mario Koeppen

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

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access