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Computational intelligence in sensor...

Mishra, Bijan Bihari.

Computational intelligence in sensor networks

Record Type:	Electronic resources : Monograph/item
Title/Author:	Computational intelligence in sensor networksedited by Bijan Bihari Mishra ... [et al.].
other author:	Mishra, Bijan Bihari.
Published:	Berlin, Heidelberg :Springer Berlin Heidelberg :2019.
Description:	xiv, 488 p. :ill. (some col.), digital ;25 cm.
Contained By:	Springer eBooks
Subject:	Computational intelligence.
Online resource:	http://dx.doi.org/10.1007/978-3-662-57277-1
ISBN:	9783662572771$q(electronic bk.)

Computational intelligence in sensor networks
Computational intelligence in sensor networks[electronic resource] /edited by Bijan Bihari Mishra ... [et al.]. - Berlin, Heidelberg :Springer Berlin Heidelberg :2019. - xiv, 488 p. :ill. (some col.), digital ;25 cm. - Studies in computational intelligence,v.7761860-949X ;. - Studies in computational intelligence ;v. 216..

Distributed Query Processing Optimization in Wireless Sensor Network Using Artiﬁcial Immune System -- Computational Intelligence Techniques for Localization in Static and Dynamic Wireless Sensor Networks- A Review -- Nature Inspired Algorithm Approach for the Development of an Energy Aware Model for Sensor Network -- Routing Protocols -- Distance based Enhanced Threshold Sensitive Stable Election routing Protocol for Heterogeneous Wireless Sensor Network.

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.

ISBN: 9783662572771$q(electronic bk.)

Standard No.: 10.1007/978-3-662-57277-1doiSubjects--Topical Terms:

210824
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Computational intelligence in sensor networks
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245 0 0 $a Computational intelligence in sensor networks $h [electronic resource] / $c edited by Bijan Bihari Mishra ... [et al.].
260 $a Berlin, Heidelberg : $b Springer Berlin Heidelberg : $b Imprint: Springer, $c 2019.
300 $a xiv, 488 p. : $b ill. (some col.), digital ; $c 25 cm.
490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.776
505 0 $a Distributed Query Processing Optimization in Wireless Sensor Network Using Artiﬁcial Immune System -- Computational Intelligence Techniques for Localization in Static and Dynamic Wireless Sensor Networks- A Review -- Nature Inspired Algorithm Approach for the Development of an Energy Aware Model for Sensor Network -- Routing Protocols -- Distance based Enhanced Threshold Sensitive Stable Election routing Protocol for Heterogeneous Wireless Sensor Network.
520 $a 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.
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650 2 4 $a Artificial Intelligence (incl. Robotics) $3 252959
650 2 4 $a Communications Engineering, Networks. $3 273745
700 1 $a Mishra, Bijan Bihari. $3 829769
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