Ubiquitous Computing and Communication Journal
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Title: Applications of Highly Adjusted Probabilistic Flooding in MANETs
Authors: Mr. Muneer Bani Yasin
The broadcasting protocol can dramatically affect the performance of a MANET. Proper use of a probabilistic broadcasting method can reduce the number of rebroadcasts, and as a result reduce the chance of contention and collision among neighboring nodes. While most previous studies have used a FIXED re-broadcasting probability irrespective of node/network status, this research demonstrates that dynamically adjusting the re-broadcasting probability to take into account node status (e.g. neighborhood information over one hop) greatly improves network performance in terms of both saved rebroadcasts and degree of reachability. This paper evaluate the performance of Highly Adjusted Probabilistic by implement it on Ad Hoc on Demand Distance Vector (AODV) protocol which is based on simple flooding as well as a fixed probabilistic approach in the. The results show that the Highly Adjusted Probabilistic exhibits superior performance in terms of both the reachability and saved rebroadcasts