2012 International Conference on Multimedia Computing and Systems 2012
DOI: 10.1109/icmcs.2012.6320238
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Optimizing the process of OLSR clustering based on mobility and density in ad hoc networks

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Cited by 4 publications
(4 citation statements)
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“…Optimized Link State Routing Protocol (OLSR) [27], is a table driven pro-active routing protocol for wireless Ad Hoc Network which optimizes the information flooding mechanism of the entire topology by cutting down the amount of connection that are displayed and also by setting up the message control to a group of MPRs (MultiPoint-Relay) it condenses the forwarding number of nodes at every topology. Information control also known as (TC) Topology Control Message, which has the set of MPR Selector for each nodes across the network and it only gets emanated by the selected nodes as MPRs (MultiPoint-Relays), this makes OLSR quite adequate on the utilization of bandwidth and calculation of the path.…”
Section: Proposed Methods [Mp-olsr]mentioning
confidence: 99%
“…Optimized Link State Routing Protocol (OLSR) [27], is a table driven pro-active routing protocol for wireless Ad Hoc Network which optimizes the information flooding mechanism of the entire topology by cutting down the amount of connection that are displayed and also by setting up the message control to a group of MPRs (MultiPoint-Relay) it condenses the forwarding number of nodes at every topology. Information control also known as (TC) Topology Control Message, which has the set of MPR Selector for each nodes across the network and it only gets emanated by the selected nodes as MPRs (MultiPoint-Relays), this makes OLSR quite adequate on the utilization of bandwidth and calculation of the path.…”
Section: Proposed Methods [Mp-olsr]mentioning
confidence: 99%
“…A novel clustering algorithm for OLSR is proposed in [4], it gives birth to a new OLSR protocol, based on a metric that combines the two major characteristics of ad hoc networks: mobility and density. The simulations results show, that the proposed approach enhances the routing process and produces a small number of stable (less mobile) cluster heads.…”
Section: Related Workmentioning
confidence: 99%
“…In this paper we propose the use of K-medoid to produce optimal clusters. This method is based on a metric of mobility proposed by [4] and improved by our approach. In [4] the author has noticed the impact of nodes that join and / or leave the coverage area of a node on the evaluation of their degree of mobility (see Fig.…”
Section: Problem Formulationmentioning
confidence: 99%
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