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Computational Intelligence in Sensor Networks

  • Bijan Bihari Mishra
  • Satchidanand Dehuri
  • Bijaya Ketan Panigrahi
  • Ajit Kumar Nayak
  • Bhabani Shankar Prasad Mishra
  • Himansu Das

Part of the Studies in Computational Intelligence book series (SCI, volume 776)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Srinivas Narasegouda, M. Umme Salma, Anuradha N Patil
    Pages 55-77
  3. T. M. Behera, U. C. Samal, S. K. Mohapatra
    Pages 79-99
  4. Karuna Babber, Rajneesh Randhawa
    Pages 141-166
  5. M. Umme Salma, Srinivas Narasegouda, Anuradha N. Patil
    Pages 167-186
  6. Mahrin Tasfe, Amitabha Chakrabarty
    Pages 187-214
  7. Bharat Bhushan, G. Sahoo
    Pages 215-248
  8. Satyanarayana Chanagala, Z. J. Khan
    Pages 249-276
  9. V. Bhanumathi, K. Kalaivanan
    Pages 277-305
  10. Ankumoni Bora, Kandarpa Kumar Sarma
    Pages 307-334
  11. Abdelrahman Zaroug, Jasmine K. Proud, Daniel T. H. Lai, Kurt Mudie, Dan Billing, Rezaul Begg
    Pages 353-383
  12. Vilabha S. Patil, Yashwant B. Mane, Shraddha Deshpande
    Pages 385-404
  13. Ivy Majumdar, B. N. Chatterji, Avijit Kar
    Pages 405-426
  14. Subhashree Mishra, S. S. Singh, Bhabani Shankar Prasad Mishra
    Pages 455-472

About this book

Introduction

This book discusses applications of computational intelligence in sensor networks. Consisting of twenty chapters, it addresses topics ranging from small-scale data processing to big data processing realized through sensor nodes with the help of computational approaches. Advances in sensor technology and computer networks have enabled sensor networks to evolve from small systems of large sensors to large nets of miniature sensors, from wired communications to wireless communications, and from static to dynamic network topology. In spite of these technological advances, sensor networks still face the challenges of communicating and processing large amounts of imprecise and partial data in resource-constrained environments. Further, optimal deployment of sensors in an environment is also seen as an intractable problem. On the other hand, computational intelligence techniques like neural networks, evolutionary computation, swarm intelligence, and fuzzy systems are gaining popularity in solving intractable problems in various disciplines including sensor networks. The contributions combine the best attributes of these two distinct fields, offering readers a comprehensive overview of the emerging research areas and presenting first-hand experience of a variety of computational intelligence approaches in sensor networks.

Keywords

Computational Intelligence Information Fusion Sensor Networks Neural Networks Evolutionary Algorithms Fuzzy Theory Swarm Intelligence Big Data

Editors and affiliations

  • Bijan Bihari Mishra
    • 1
  • Satchidanand Dehuri
    • 2
  • Bijaya Ketan Panigrahi
    • 3
  • Ajit Kumar Nayak
    • 4
  • Bhabani Shankar Prasad Mishra
    • 5
  • Himansu Das
    • 6
  1. 1.Department of Information TechnologySilicon Institute of TechnologyBhubaneswarIndia
  2. 2.Department of Information and CommunicationFakir Mohan UniversityBalasoreIndia
  3. 3.Department of Electrical EngineeringIndian Institute of TechnologyNew DelhiIndia
  4. 4.Department of Computer Science and EngineeringSilicon Institute of TechnologyBhubaneswarIndia
  5. 5.School of Computer EngineeringKIIT UniversityBhubaneswarIndia
  6. 6.School of Computer EngineeringKIIT UniversityBhubaneswarIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-57277-1
  • Copyright Information Springer-Verlag GmbH Germany, part of Springer Nature 2019
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Intelligent Technologies and Robotics
  • Print ISBN 978-3-662-57275-7
  • Online ISBN 978-3-662-57277-1
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site