Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Traffic load and lifetime deviation based power-aware routing protocol for wireless Ad hoc networks

Full metadata record
DC Field Value Language
dc.contributor.authorKim, D.-H.-
dc.contributor.authorHa, R.-
dc.contributor.authorCha, H.-
dc.date.accessioned2022-02-07T07:42:03Z-
dc.date.available2022-02-07T07:42:03Z-
dc.date.created2022-02-07-
dc.date.issued2006-
dc.identifier.issn0302-9743-
dc.identifier.urihttps://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/25017-
dc.description.abstractThis 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.language영어-
dc.language.isoen-
dc.publisherSpringer Verlag-
dc.titleTraffic load and lifetime deviation based power-aware routing protocol for wireless Ad hoc networks-
dc.typeArticle-
dc.contributor.affiliatedAuthorHa, R.-
dc.identifier.doi10.1007/11750390_28-
dc.identifier.scopusid2-s2.0-33745928470-
dc.identifier.bibliographicCitationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v.3970 LNCS, pp.325 - 336-
dc.relation.isPartOfLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)-
dc.citation.titleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)-
dc.citation.volume3970 LNCS-
dc.citation.startPage325-
dc.citation.endPage336-
dc.type.rimsART-
dc.type.docTypeConference Paper-
dc.description.journalClass1-
dc.description.journalRegisteredClassscopus-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > Computer Engineering > Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Ha, Rhan photo

Ha, Rhan
Engineering (Department of Computer Engineering)
Read more

Altmetrics

Total Views & Downloads

BROWSE