Optimal Secured Reliable Routing Paths Identification in MANET Through Intelligent Probability Statistic Model

Abstract

In MANETs (Mobile Adhoc Network) detecting optimal reliable ordered routing paths between source network nodes to destination network is all the time a challenging task because of the mobility nature of the nodes in a MANET. Complexity in the infrastructure in the network another vital criteria. On top of it adhoc networks are dynamic and insecure due to wireless adaptability. So the main objective of this paper is to identify optimal secured reliable routing paths among routing nodes in an MANET. This paper mainly discuss about Intelligent Probability Statistic Model (IPSM) which predict the optimal secured reliable routing path in minimal time complexity, secure in nature. The proposed model is compared with hybrid models Fitness based genetic algorithm (GA), Ant colony optimization (ACO) and Fuzzy Topsis Rough set Analytical Hierarchy Process (AHP). These proposed models are tested on a network simulator (NS2) considering various performance parameters. The Intelligent Probability Statistic Model (IPSM) model with the support of these mathematical models Fuzzy, Rough set and Topsis generates optimal secured reliable routing with at most accuracy.