LAUSR

Mobile Ad-hoc Network (MANET) routing is considered a challenging task because of the unpredictable changes in the network topology due to the absence of any centralized control. This routing has led to the development of several different routing protocols for MANET. In MANET, routing plays an important role in providing connectivity for mobile nodes that are not within the same radio range. Existing routing protocols in MANET assume a trusted and reliable environment. Here we have utilized soft computing technique for the selection of nodes in order to provide accurate means of transmission of data. Initially the nodes are clustered using Hybrid K means algorithm. Once the clustering is done path is formed based on optimized link state routing protocol. The routing is done by optimizing the nodes with the aid of Hybrid Genetic algorithm (GA). The implementation is done in NS2/NS3 platform and the results obtained are compared with various existing methods in order to prove the efficiency of our proposed technique. . The data transmission in proposed method (OLSR) occurs with maximum data gathering capacity and cluster head selection and shortest path selection in reaching the sink node. But in the existing method there is no cluster head selection and hence the information is gathered from all the nodes (AODV and DSDV). The results show that our secure QoS versions of the OLSR routing protocol more efficient than existing works.