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A Mobile Ad hoc Network is a type of ad hoc network. It can change its location configuration dynamically. It is an infrastructure-less network. Due to the complex nature of MANETS, their development processes face several challenges. One of such key challenge is routing. Several routing protocols have already been proposed for MANETs. This paper examines the impact of MAC protocols 802.11 and CSMA on the two on demand routing protocols AODV and LAR in MANETs with varying Node density in the network. Number of simulation scenarios was carried out by using Glomosim-2.03. The simulation metrics used are Throughput, Delay and PDR. Simulation experiments found that both 802.11 and CSMA is suitable for AODV where as only 802.11 is suitable for LAR. General TermsWireless networks, Mobile ad hoc Networks, MAC Protocols, Routing Protocols

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In Mobile Ad hoc Networks, routing is a challenging issue. Basically, the working routing protocols for these networks are classified in to three categories like the reactive protocols, proactive protocols and the hybrid t protocols which were the combination of above two types of protocols. Among them proactive routing protocols category is selected for the present study. In proactive routing protocols, STAR with LORA approach is chosen because it has less control overhead when compared to ORA approach and other proactive routing protocols. It works on few defacto parameter values in a dynamic MANET environment. These static values for parameters are not suitable in a dynamic environment. With reference to the IETF draft, it is a time series problem. In this paper, an effort has been made to incorporate the soft computing technique, fuzzy logic based STAR to enhance the performance of a MANET to support real time communication. The proposed Fuzzy logic approach based STAR performance is evaluated using simulation through QualNet simulator. From the results, it is observed that the Fuzzy logic based STAR provides superior performance than the defactoSTAR protocol. The comparative performance was measured using the performance metrics End-to-end delay, Jitter and throughput. A number of simulation scenarios were executed for small, medium and large size networks. From the simulation results, we conclude that Fuzzy Logic based STAR outperforms for small, medium size networks.