Comparative Analysis of Coherent Routing Using Machine Learning Approach in MANET
Ad hoc network is a network which is dynamic in nature where the mobile nodes form a temporary network in the absence of centralized administration. Due to the absence of centralized administrator in network, routing in mobile ad hoc network (MANET) becomes the fundamental issue which minimizes the selection of an optimal path for routing. Certain performance parameters such as latency, overhead, and packet delivery ratio (PDR) are affected adversely for which numerous techniques are advocated that enhances the selection of efficient and stable path. In the present paper, an attempt is made to select the optimal path and compare the results by varying the number of nodes by using knowledge-based learning algorithm. The optimal path will possess the highest average sum of relay nodes and will be considered as the most optimal and reliable path. We also proposed that analysis of throughput and PDR is better as compared to the traditional methods. The simulation is carried out at NS-2 network simulator, which is employed to implement wired and wireless ad hoc simulation.
KeywordsPDR (packet delivery ratio) Relay number Throughput AODV MANET
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