Title
Performance evaluation with different mobility models for dynamic probabilistic flooding in MANETs
Abstract
Broadcasting is an essential and effective data propagation mechanism, with several of important applications such as route discovery, address resolution, as well as many other network services. As data broadcasting has many advantages, also causing a lot of contention, collision, and congestion, which induces what is known as "broadcast storm problems". Broadcasting has traditionally been based on the flooding protocol, which simply overflows the network with high number of rebroadcast messages until the messages reach to all network nodes. A good probabilistic broadcasting protocol can achieve higher saved rebroadcast, low collisions and less number of relays. In this paper, we propose a dynamic probabilistic approach that dynamically fine-tunes the rebroadcasting probability according to the number of neighbour's nodes distributed in the ad hoc network for routing request packets (RREQs). The performance of the proposed approach is investigated and compared with the simple AODVand fixed probabilistic schemes using the GloMoSim network simulator under different mobility models. The performance results reveal that the improved approach is able to achieve higher saved rebroadcast and low collision as well as low number of relays than the fixed probabilistic scheme and simple AODV.
Year
DOI
Venue
2009
10.3233/MIS-2009-0073
Mobile Information Systems
Keywords
Field
DocType
different mobility model,low number,dynamic probabilistic flooding,dynamic probabilistic approach,fixed probabilistic scheme,high number,low collision,good probabilistic broadcasting protocol,network service,performance evaluation,data broadcasting,glomosim network simulator,network node,mobility model
Broadcasting,Computer science,Network packet,Network simulation,Computer network,Mobility model,GloMoSim,Broadcast radiation,Probabilistic logic,Wireless ad hoc network,Distributed computing
Journal
Volume
Issue
ISSN
5
1
1574-017X
Citations 
PageRank 
References 
57
2.08
15
Authors
3
Name
Order
Citations
PageRank
Abdalla M. Hanashi11275.93
Irfan Ullah Awan271187.15
Mike Woodward31438.44