Traffic load and lifetime deviation based power-aware routing protocol for wireless Ad hoc networks
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, D.-H. | - |
dc.contributor.author | Ha, R. | - |
dc.contributor.author | Cha, H. | - |
dc.date.accessioned | 2022-02-07T07:42:03Z | - |
dc.date.available | 2022-02-07T07:42:03Z | - |
dc.date.created | 2022-02-07 | - |
dc.date.issued | 2006 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/25017 | - |
dc.description.abstract | This paper proposes a new power-aware routing protocol, TDPR(Traffic load and lifetime Deviation based Power-aware Routing protocol), that does not only consider the residual battery capacity and transmission power, but also the traffic load of nodes and deviation among node lifetimes. It helps to extend the entire network's lifetime and to achieve load balancing. Simulation using ns-2 shows better the performance of the proposed routing protocol in terms of load balancing of the entire network, the consumed energy capacity of nodes, and paths reliability. TDPR has dead nodes 72% less than AODV, and 58% less than PSR. TDPR consumes residual energy capacity 29% less than AODV, 15% less than PSR. Error messages are sent maximum 38% less than PSR, and maximum 41% less than AODV. © Springer-Verlag Berlin Heidelberg 2006. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Springer Verlag | - |
dc.title | Traffic load and lifetime deviation based power-aware routing protocol for wireless Ad hoc networks | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Ha, R. | - |
dc.identifier.doi | 10.1007/11750390_28 | - |
dc.identifier.scopusid | 2-s2.0-33745928470 | - |
dc.identifier.bibliographicCitation | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v.3970 LNCS, pp.325 - 336 | - |
dc.relation.isPartOf | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | - |
dc.citation.title | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | - |
dc.citation.volume | 3970 LNCS | - |
dc.citation.startPage | 325 | - |
dc.citation.endPage | 336 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scopus | - |
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