A Novel Opinion Computational model of multi path POR Routing Protocol based on subjective logic in Mobile Ad hoc Networks

We use the mobile ad-hoc network (MANET) to communicate to the mobile nodes that participate in the wireless network, wherein a new node is ready to advance their details to other nodes within the working environment. However, this allows every othernode, not just for the individual node, but the group of nodes, in an independent manner to share the exchange of information. In this paper is indicated, a novel opinion prediction model, which is to prevent selfish nodes,to ensure availability of trust value with subjective logic. In addition, this paper gives a novel subjective logic trust model to handle errors due toignorance of establishing a communication path between the nodes of a temporary network by a selfish node. The model of trust value acts as a key role in subjective logic. We use this type of model in multipath routing, which uses the subjective logic based trust model in distributed networks to determine the uncertainty between random nodes. There is not enough subjective logic to perform many tasks, so we add new technologies to expand it. For this, we place the new opinion associated with the subjective logic which is an indicator for route selection to the source node.Trust fusion is used to evaluate the relative basis of the application idea in subjective logic. Addition we used Bayesion theorem, evidence theorem and Dempster Shafer theorem. This results in a greater confidence assessment as the mutual trust based information exchange between the nodes. The confidence in the communication exchange mechanism reduces the additional routing overhead and computational overhead. Subjective Logic based Trust Fusion modelon Position based Opportunistic Routing (SLTF_POR) to test the results that are simulated with our proposed routing protocol,then the trial assessment by the use of Dempster Shafer theorem and trust fusion method areaccomplished to analyze a high level of trust and choice information. We analyze our sample results using ns2 simulations based on performance evaluation and compare with Context-Aware Security and Trust (CAST) framework, network performance amidst the different factors of impact. The results of simulation show that our model surpassed the pure subjective logic model and a 25% improvement on time combination.