Performance Analysis of Probabilistic Routing Algorithms in Mobile Ad Hoc Networks Using a New Smart Algorithm
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Abstract
Flooding and Ad hoc on Demand Distance Vector routing algorithms (AODV) are common algorithms in Mobile Ad hoc Networks (MANETs). Flooding can dramatically affect the performance of MANET, but probabilistic approach to flooding has been proposed recently to solve the flooding storm problem. This problem leads to contention, collision and duplicated messages. This paper will propose a new smart probabilistic method to improve the performance of existing flooding protocol by increasing the throughput and decreasing the average end-to-end delay. Simulation results show that combination of flooding and a suitable smart probabilistic optimization method can reduce the average end-to-end delay and increase throughput.
In this paper, this method is also used for AODV algorithm. Results indicate that AODV will be enhanced while nodes send message probabilistically. More ever, using proposed optimization algorithm improves this algorithm as well as flooding, but enhancement occurs in different probabilities.
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