Wireless Sensor Networks: Design, Deployment and Applications

✍ Scribed by Siva Yellampalli,

Publisher: Intechopen
Year: 2021
Tongue: English
Leaves: 314
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

This book discusses the applications, challenges, and design and deployment techniques of wireless sensor networks.
Wireless sensor networks (WSNs) consist of tiny sensors capable of sensing, computing, and communicating. Due to advances in semiconductors, networking, and material science technologies, it is now possible to deploy large-scale WSNs. The advancement in these technologies has not only decreased the deployment and maintenance costs of networks but has also increased the life of networks and made them more rugged. As WSNs become more reliable with lower maintenance costs, they are being deployed and used across various sectors for multiple applications.

✦ Table of Contents

Cover
Chapter 1 Wireless Sensor Networks: Applications
Chapter 2 Wireless Sensor Networks: Applications and Challenges
Chapter 3 Design Model and Deployment Fashion of Wireless Sensor Networks
Chapter 4 An Algorithmic Approach to the Node Selection Problem in Industrial Wireless Sensor Networks
Chapter 5 Data Aggregation Scheme Using Multiple Mobile Agents in Wireless Sensor Network
Chapter 6 Data Collection Protocols in Wireless Sensor Networks
Chapter 7 WSN for Event Detection Applications: Deployment, Routing, and Data Mapping Using AI
Chapter 8 Swarm Intelligence-Based Bio-Inspired Framework for Wireless Sensor Networks
Chapter 9 Energy Saving Hierarchical Routing Protocol in WSN
Chapter 10 Research on Polling Control System in Wireless Sensor Networks
Chapter 11 Cross-Layer Inference in WSN: From Methods to Experimental Validation
Chapter 12 Queries Processing in Wireless Sensor Network
Chapter 13 Interference Mapping in 3D for High-Density Indoor IoT Deployments
Chapter 14 Applications of Prediction Approaches in Wireless Sensor Networks
Chapter 15 Innovative Wearable Sensors Based on Hybrid Materials for Real-Time Breath Monitoring
Chapter 16 An Evolutionary Perspective for Network Centric Therapy through Wearable and Wireless Systems for Reflex, Gait, and Movement Disorder Assessment with Machine Learning
Chapter 17 Challenges of WSNs in IoT

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