Soft Computing Applications in Sensor Networks
1st Edition
Published on 27. September 2016
Book
Hardback
284 pages
978-1-4822-9875-8 (ISBN)
Description
This book uses tutorials and new material to describe the basic concepts of soft-computing which potentially can be used in real-life sensor network applications. It is organized in a manner that exemplifies the use of an assortment of soft-computing applications for solving different problems in sensor networking. Written by worldwide experts, the chapters provide a balanced mixture of different problems concerning channel access, routing, coverage, localization, lifetime maximization and target tracking using emerging soft-computing applications.
More details
Language
English
Place of publication
Boca Raton
United States
Publishing group
Taylor & Francis Inc
Target group
College/higher education
Professional and scholarly
Professional Practice & Development
Illustrations
100 s/w Abbildungen, 12 s/w Tabellen
12 Tables, black and white; 100 Illustrations, black and white
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 22 mm
Weight
640 gr
ISBN-13
978-1-4822-9875-8 (9781482298758)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Sankar K. Pal | Sudip Misra
Soft Computing Applications in Sensor Networks
E-Book
10/2016
Chapman & Hall/CRC
€225.99
Available for download
Sankar K. Pal | Sudip Misra
Soft Computing Applications in Sensor Networks
E-Book
10/2016
Chapman & Hall/CRC
€225.99
Available for download
Persons
Content
Introduction. Introduction to Soft-Computing. Introduction to Sensor Networks. Data Link Layer. Energy Saving MAC protocol. Optimization of Sleep and Duty Cycles Scheduling. Link Quality Estimation. Network Layer. Cooperative Routing among Sensor nodes. Relay Selection for Energy Efficient Routing. Energy Efficient Clustering Methods for Routing. Localization of Sensor Nodes in Noisy Environments. Energy Efficient Coverage. Transport Layer. Transmission Control for Variable Loads in Sensor Networks. Transport Protocol for Congestion Control in Sensor Networks. Application Layer. Optimal Sensor Deployment. Real-time Monitoring or Situation Understanding. Robotic Application. Aircraft Sensor Management.