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Computational Intelligence in Sensor Networks

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Table of Contents

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    Book Overview
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    Chapter 1 Distributed Query Processing Optimization in Wireless Sensor Network Using Artificial Immune System
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    Chapter 2 Computational Intelligence Techniques for Localization in Static and Dynamic Wireless Sensor Networks—A Review
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    Chapter 3 Nature Inspired Algorithm Approach for the Development of an Energy Aware Model for Sensor Network
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    Chapter 4 Routing Protocols
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    Chapter 5 Distance Based Enhanced Threshold Sensitive Stable Election Routing Protocol for Heterogeneous Wireless Sensor Network
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    Chapter 6 Deployment Strategies in Wireless Sensor Networks
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    Chapter 7 Cross-Layer Designs in Wireless Sensor Networks
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    Chapter 8 A Meta-heuristic Based Hybrid Predictive Model for Sensor Network Data
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    Chapter 9 Extensive Study of Pocket Switched Network Protocols
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    Chapter 10 Routing Protocols in Wireless Sensor Networks
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    Chapter 11 Energy Efficiency
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    Chapter 12 Application Specific Sensor-Cloud: Architectural Model
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    Chapter 13 Big Data and Deep Learning for Stochastic Wireless Channel
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    Chapter 14 Integrated Sensor Networking for Estimating Ground Water Potential in Scanty Rainfall Region: Challenges and Evaluation
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    Chapter 15 Overview of Computational Intelligence (CI) Techniques for Powered Exoskeletons
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    Chapter 16 FPGA Based Power Saving Technique for Sensor Node in Wireless Sensor Network (WSN)
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    Chapter 17 Particle Swarm Optimisation Method for Texture Image Retrieval
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    Chapter 18 AOR-ID-KAP: An Authenticated One-Round Identity-Based Key Agreement Protocol for Wireless Sensor Network
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    Chapter 19 A Comparative Analysis of Centralized and Distributed Spectrum Sharing Techniques in Cognitive Radio
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    Chapter 20 Sedimentation Process and Its Assessment Through Integrated Sensor Networks and Machine Learning Process
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