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Computational Intelligence in Sensor Networks

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Cover of 'Computational Intelligence in Sensor Networks'

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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Title
Computational Intelligence in Sensor Networks
Published by
Springer Berlin Heidelberg, July 2018
DOI 10.1007/978-3-662-57277-1
ISBNs
978-3-66-257275-7, 978-3-66-257277-1
Editors

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

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 27%
Student > Master 7 23%
Student > Doctoral Student 3 10%
Other 2 7%
Researcher 2 7%
Other 2 7%
Unknown 6 20%
Readers by discipline Count As %
Engineering 9 30%
Computer Science 8 27%
Agricultural and Biological Sciences 3 10%
Environmental Science 1 3%
Neuroscience 1 3%
Other 1 3%
Unknown 7 23%