Wireless sensor nodes redeployment using a multiobjective optimization evolutionary algorithm

Wireless sensor nodes redeployment using a multiobjective optimization evolutionary algorithm

This paper proposes to apply a multiobjective optimization evolutionary algorithm in wireless sensor node redeployment process to improve network lifetime and sensing coverage. The multiobjective optimization uses a population of individuals, each of which represents a set of wireless sensor node po...

Full description

Saved in:
Bibliographic Details
Main Authors: Rungrote Kuawattanaphan, Teerawat Kumrai, Paskorn Champrasert
Format: Conference Proceeding
Published: 2018
Subjects:
Computer Science
Engineering
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84894328390&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/52420
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Chiang Mai University
id th-cmuir.6653943832-52420
record_format dspace
spelling th-cmuir.6653943832-524202018-09-04T09:26:25Z Wireless sensor nodes redeployment using a multiobjective optimization evolutionary algorithm Rungrote Kuawattanaphan Teerawat Kumrai Paskorn Champrasert Computer Science Engineering This paper proposes to apply a multiobjective optimization evolutionary algorithm in wireless sensor node redeployment process to improve network lifetime and sensing coverage. The multiobjective optimization uses a population of individuals, each of which represents a set of wireless sensor node positions, and evolves them via the genetic operations for seeking optimal sensing coverage and network lifetime. The data transmission success rate and the total moving cost are also added as constraints. Simulation results show that the proposed multiobjective optimization evolutionary algorithm outperforms a well-known existing evolutionary algorithm for multiobjective optimization. © 2013 IEEE. 2018-09-04T09:25:07Z 2018-09-04T09:25:07Z 2013-12-01 Conference Proceeding 21593450 21593442 2-s2.0-84894328390 10.1109/TENCON.2013.6719022 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84894328390&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/52420
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Computer Science
Engineering
spellingShingle Computer Science
Engineering
Rungrote Kuawattanaphan
Teerawat Kumrai
Paskorn Champrasert
Wireless sensor nodes redeployment using a multiobjective optimization evolutionary algorithm
description This paper proposes to apply a multiobjective optimization evolutionary algorithm in wireless sensor node redeployment process to improve network lifetime and sensing coverage. The multiobjective optimization uses a population of individuals, each of which represents a set of wireless sensor node positions, and evolves them via the genetic operations for seeking optimal sensing coverage and network lifetime. The data transmission success rate and the total moving cost are also added as constraints. Simulation results show that the proposed multiobjective optimization evolutionary algorithm outperforms a well-known existing evolutionary algorithm for multiobjective optimization. © 2013 IEEE.
format Conference Proceeding
author Rungrote Kuawattanaphan
Teerawat Kumrai
Paskorn Champrasert
author_facet Rungrote Kuawattanaphan
Teerawat Kumrai
Paskorn Champrasert
author_sort Rungrote Kuawattanaphan
title Wireless sensor nodes redeployment using a multiobjective optimization evolutionary algorithm
title_short Wireless sensor nodes redeployment using a multiobjective optimization evolutionary algorithm
title_full Wireless sensor nodes redeployment using a multiobjective optimization evolutionary algorithm
title_fullStr Wireless sensor nodes redeployment using a multiobjective optimization evolutionary algorithm
title_full_unstemmed Wireless sensor nodes redeployment using a multiobjective optimization evolutionary algorithm
title_sort wireless sensor nodes redeployment using a multiobjective optimization evolutionary algorithm
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84894328390&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/52420
_version_ 1681423947836424192

Similar Items