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Computational Intelligence in Sensor Networks

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  • © 2019

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Editors:
  1. Bijan Bihari Mishra

    1. Department of Information Technology, Silicon Institute of Technology, Bhubaneswar, India

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  2. Satchidanand Dehuri

    1. Department of Information and Communication, Fakir Mohan University, Balasore, India

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  3. Bijaya Ketan Panigrahi

    1. Department of Electrical Engineering, Indian Institute of Technology, New Delhi, India

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  4. Ajit Kumar Nayak

    1. Department of Computer Science and Engineering, Silicon Institute of Technology, Bhubaneswar, India

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  5. Bhabani Shankar Prasad Mishra

    1. School of Computer Engineering, KIIT University, Bhubaneswar, India

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  6. Himansu Das

    1. School of Computer Engineering, KIIT University, Bhubaneswar, India

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  • Discusses applications of computational intelligence in sensor networks
  • Presents current challenges in sensor networks and computational intelligence
  • Written by leading experts in the field

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

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Table of contents (20 chapters)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Distributed Query Processing Optimization in Wireless Sensor Network Using Artificial Immune System

    • Ruby Rani
    Pages 1-23

  3. Computational Intelligence Techniques for Localization in Static and Dynamic Wireless Sensor Networks—A Review

    • Singh Parulpreet, Khosla Arun, Kumar Anil, Khosla Mamta
    Pages 25-54

  4. Nature Inspired Algorithm Approach for the Development of an Energy Aware Model for Sensor Network

    • Srinivas Narasegouda, M. Umme Salma, Anuradha N Patil
    Pages 55-77

  5. Routing Protocols

    • T. M. Behera, U. C. Samal, S. K. Mohapatra
    Pages 79-99

  6. Distance Based Enhanced Threshold Sensitive Stable Election Routing Protocol for Heterogeneous Wireless Sensor Network

    • Richa Rani, Deepti Kakkar, Parveen Kakkar, Ashish Raman
    Pages 101-122

  7. Deployment Strategies in Wireless Sensor Networks

    • Itu Snigdh
    Pages 123-140

  8. Cross-Layer Designs in Wireless Sensor Networks

    • Karuna Babber, Rajneesh Randhawa
    Pages 141-166

  9. A Meta-heuristic Based Hybrid Predictive Model for Sensor Network Data

    • M. Umme Salma, Srinivas Narasegouda, Anuradha N. Patil
    Pages 167-186

  10. Extensive Study of Pocket Switched Network Protocols

    • Mahrin Tasfe, Amitabha Chakrabarty
    Pages 187-214

  11. Routing Protocols in Wireless Sensor Networks

    • Bharat Bhushan, G. Sahoo
    Pages 215-248

  12. Energy Efficiency

    • Satyanarayana Chanagala, Z. J. Khan
    Pages 249-276

  13. Application Specific Sensor-Cloud: Architectural Model

    • V. Bhanumathi, K. Kalaivanan
    Pages 277-305

  14. Big Data and Deep Learning for Stochastic Wireless Channel

    • Ankumoni Bora, Kandarpa Kumar Sarma
    Pages 307-334

  15. Integrated Sensor Networking for Estimating Ground Water Potential in Scanty Rainfall Region: Challenges and Evaluation

    • Dillip K. Ghose, Sandeep Samantaray
    Pages 335-352

  16. Overview of Computational Intelligence (CI) Techniques for Powered Exoskeletons

    • Abdelrahman Zaroug, Jasmine K. Proud, Daniel T. H. Lai, Kurt Mudie, Dan Billing, Rezaul Begg
    Pages 353-383

  17. FPGA Based Power Saving Technique for Sensor Node in Wireless Sensor Network (WSN)

    • Vilabha S. Patil, Yashwant B. Mane, Shraddha Deshpande
    Pages 385-404

  18. Particle Swarm Optimisation Method for Texture Image Retrieval

    • Ivy Majumdar, B. N. Chatterji, Avijit Kar
    Pages 405-426

  19. AOR-ID-KAP: An Authenticated One-Round Identity-Based Key Agreement Protocol for Wireless Sensor Network

    • Mahender Kumar
    Pages 427-454

  20. A Comparative Analysis of Centralized and Distributed Spectrum Sharing Techniques in Cognitive Radio

    • Subhashree Mishra, S. S. Singh, Bhabani Shankar Prasad Mishra
    Pages 455-472
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Keywords

About this book

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.

Editors and Affiliations

  • Department of Information Technology, Silicon Institute of Technology, Bhubaneswar, India

    Bijan Bihari Mishra

  • Department of Information and Communication, Fakir Mohan University, Balasore, India

    Satchidanand Dehuri

  • Department of Electrical Engineering, Indian Institute of Technology, New Delhi, India

    Bijaya Ketan Panigrahi

  • Department of Computer Science and Engineering, Silicon Institute of Technology, Bhubaneswar, India

    Ajit Kumar Nayak

  • School of Computer Engineering, KIIT University, Bhubaneswar, India

    Bhabani Shankar Prasad Mishra, Himansu Das

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