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Article: An energy efficient routing algorithm based on clustering and ant colony optimization for wireless sensor networks

TitleAn energy efficient routing algorithm based on clustering and ant colony optimization for wireless sensor networks
Authors
KeywordsWireless sensor network
Ant colony optimization
Clustering
Route optimal degree
Issue Date2012
Citation
Kongzhi yu Juece/Control and Decision, 2012, v. 27, n. 6 How to Cite?
AbstractHow to make efficient use of the limited energy of nodes so as to prolong the lifetime of the wireless sensor network(WSN) is an important problem. An energy efficient routing algorithm(EEA) based on clustering is presented. This algorithm uses clustering to reduce the number of nodes which join in researching route, which can reduce consumer energy. The improve route optimal degree is presented to evaluate the performance of the chosen route. Simulation results show that, compared with other algorithms, like ant colony optimization(ACO)-based routing algorithm(ARA) and EEAWSN, the proposed approach is able to keep away from the node with less residual energy, which can improve the life of networks.
Persistent Identifierhttp://hdl.handle.net/10722/265630
ISSN
2023 SCImago Journal Rankings: 0.288

 

DC FieldValueLanguage
dc.contributor.authorLiu, Kui-
dc.contributor.authorLiu, San Yang-
dc.contributor.authorFeng, Hai Lin-
dc.contributor.authorJiao, He Hua-
dc.date.accessioned2018-12-03T01:21:13Z-
dc.date.available2018-12-03T01:21:13Z-
dc.date.issued2012-
dc.identifier.citationKongzhi yu Juece/Control and Decision, 2012, v. 27, n. 6-
dc.identifier.issn1001-0920-
dc.identifier.urihttp://hdl.handle.net/10722/265630-
dc.description.abstractHow to make efficient use of the limited energy of nodes so as to prolong the lifetime of the wireless sensor network(WSN) is an important problem. An energy efficient routing algorithm(EEA) based on clustering is presented. This algorithm uses clustering to reduce the number of nodes which join in researching route, which can reduce consumer energy. The improve route optimal degree is presented to evaluate the performance of the chosen route. Simulation results show that, compared with other algorithms, like ant colony optimization(ACO)-based routing algorithm(ARA) and EEAWSN, the proposed approach is able to keep away from the node with less residual energy, which can improve the life of networks.-
dc.languageeng-
dc.relation.ispartofKongzhi yu Juece/Control and Decision-
dc.subjectWireless sensor network-
dc.subjectAnt colony optimization-
dc.subjectClustering-
dc.subjectRoute optimal degree-
dc.titleAn energy efficient routing algorithm based on clustering and ant colony optimization for wireless sensor networks-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-84865140142-
dc.identifier.volume27-
dc.identifier.issue6-
dc.identifier.spagenull-
dc.identifier.epagenull-
dc.identifier.issnl1001-0920-

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