Computational Intelligence in Sensor Networks

1. Front Matter

   Pages i-xiv

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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

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.

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

• 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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