Abstract
Determining an accurate and reliable prediction of the optimal routing paths between source and destination nodes in Mobile Adhoc Network (MANET) is always challenge due to dynamic nature of mobile nodes and the scarcity of network availability. The purpose of this work is to identify reliable optimal paths (ordered) from the set of possible random routing paths. The proposed model leverages fuzzy sets and rough sets for routing path classification. It also utilizes TOPSIS (Technique for order of performance by similarity to ideal solution), a multi criteria desicion analysis method for obtaining best and worst routes in the network. The derived routing path overcomes dynamic traffic routing problem in MANET. The proposed model compared with existing optimal routing models (Genetic Algorithm, Anti-Colony Optimization Algorithm) and found that CPU computing time decreased by 5X and through put (TP) increased by 2X.
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