Pankaj Sharma¹, Shruti Kohli² and Ashok Kumar Sinha¹, ¹ABES Engineering college, India and ²BITEC, India

Mobile ad-hoc network technology has gained popularity in recent years by researchers on account of its flexibility, low cost and ease of deployment. The objective of this paper is to model the behavior of MANET for DSR protocol by considering some prominent routing metrics. These metrics ( packet delivery fraction, normalized routing load , average end- to- end delay etc.) have been generated by Network Simulator NS 2.34 tools and the node movement has been generated using Bonmotion 1.4.The MANET behavior for DSR protocol is hypothesized to be dependent on fuzzy variables like node density, pause time , number of packets transferred , and the number of connection. In this paper the behavior of MANET is modeled using Fuzzy Inference System for DSR (Dynamic Source Routing) protocol , Fuzzy Inference System offers a natural way of representing and reasoning the problems with uncertainty and imprecision. Fuzzy logic is found to be a suitable way in the mobile ad hoc network routing decision. A Fuzzy inference system is implemented on MATLAB 7.0 and the model is found to be satisfactory with the fuzzy input metrics and de fuzzified output metrics .

Ad hoc networks, Routing metrics, DSR, Fuzzy Logic, FIS Editor