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.contributor.editor Abolhasan, M
dc.contributor.editor Lipman, J
dc.date.accessioned 2013-09-22T18:09:42Z
dc.date.issued 2005-01
dc.identifier.citation Efficient and Highly Scalable Route Discovey for On-demand Routing Protocols in Ad hoc Networks, 2005, pp. 358 - 366
dc.identifier.isbn 0-7695-2421-4
dc.identifier.other E1UNSUBMIT en_US
dc.identifier.uri http://hdl.handle.net/10453/23645
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
dc.format Shannon Brown
dc.publisher 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.parent Efficient and Highly Scalable Route Discovey for On-demand Routing Protocols in Ad hoc Networks
dc.journal.number en_US
dc.publocation NA en_US
dc.publocation NA
dc.publocation NA
dc.publocation NA
dc.publocation NA
dc.identifier.startpage 358 en_US
dc.identifier.endpage 366 en_US
dc.cauo.name CRIN Research Strength Core en_US
dc.conference Verified OK en_US
dc.conference Local Computer Networks, 2005. 30th Anniversary. The IEEE Conference on
dc.conference Local Computer Networks, 2005. 30th Anniversary. The IEEE Conference on
dc.conference Local Computer Networks, 2005. 30th Anniversary. The IEEE Conference on
dc.conference Local Computer Networks, 2005. 30th Anniversary. The IEEE Conference on
dc.for 100503 Computer Communications Networks
dc.personcode 108935
dc.percentage 100 en_US
dc.classification.name Computer Communications Networks en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom Local Computer Networks, 2005. 30th Anniversary. The IEEE Conference on en_US
dc.date.activity 20051115 en_US
dc.date.activity 2005-11-15
dc.date.activity 2005-11-15
dc.date.activity 2005-11-15
dc.date.activity 2005-11-15
dc.location.activity Sydney, Australia en_US
dc.location.activity Sydney, Australia
dc.location.activity Sydney, Australia
dc.location.activity Sydney, Australia
dc.location.activity Sydney, Australia
dc.description.keywords 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


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