Efficient and highly scalable route discovey for on-demand routing protocols in ad hoc networks

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dc.contributor.author Abolhasan, M
dc.contributor.author Lipman, J
dc.date.accessioned 2012-02-02T11:09:53Z
dc.date.issued 2005
dc.identifier.citation Proceedings - Conference on Local Computer Networks, LCN, 2005, 2005 pp. 358 - 365
dc.identifier.isbn 0769524214
dc.identifier.isbn 9780769524214
dc.identifier.other E1UNSUBMIT en_US
dc.identifier.uri http://hdl.handle.net/10453/16509
dc.description.abstract This paper presents a number of different route discovery strategies for on-demand routing protocols, which provide more control to each intermediate node make during the route discovery phase to make intelligent forwarding decisions. This is achieved through the idea of self-selection. In self-selecting route discovery each node independently makes Route Request (RREQ) forwarding decisions based upon a selection criterion or by satisfying certain conditions. The nodes which do not satisfy the selection criterion do not rebroadcast the routing packets. We implemented our self-selecting route discovery strategies over AODV using the GloMoSim network simulation package, and compared the performance with existing route discovery strategies used in AODV. Our simulation results show that a significant drop in the number of control packets can be achieved by giving each intermediate node more authority for self-selection during route discovery. Furthermore, a significant increase in throughput is achieved as the number nodes in the network is increased. © 2005 IEEE.
dc.relation.isbasedon 10.1109/LCN.2005.60
dc.title Efficient and highly scalable route discovey for on-demand routing protocols in ad hoc networks
dc.type Conference Proceeding
dc.description.version Published
dc.parent Proceedings - Conference on Local Computer Networks, LCN
dc.journal.volume 2005
dc.journal.number en_US
dc.publocation USA en_US
dc.identifier.startpage 358 en_US
dc.identifier.endpage 365 en_US
dc.cauo.name FEIT.School of Computing and Communications en_US
dc.conference Verified OK en_US
dc.for 0906 Electrical and Electronic Engineering
dc.personcode 108935
dc.percentage 100 en_US
dc.classification.name Electrical and Electronic Engineering en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom IEEE Conference on Local Computer Networks en_US
dc.date.activity 20051115 en_US
dc.location.activity Sydney, Australia en_US
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Strength - Realtime Information Networks
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
pubs.consider-herdc false
utslib.collection.history Closed (ID: 3)


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