Abstract

Many researchers have been inspired to work on diverse challenges by a particularly favourable platform, namely mobile ad hoc networks (MANET) routing optimization. However, the lack of trust assessment is one of MANET’s main flaws. As a result, trust-based routing has received increasing attention in MANET over the last few years. Hence, the majority of recent work has focused on the development of routing protocols for security enhancement in a hostile environment. However, on the MANET environment, these protocols have many weaknesses and are also not that much secure. Hence, the primary goal of this study is to design a framework for balancing multiple performance measures in order to find the optimal multipath routing solution. In this scheme, we have employed the exponential cauchy kernelized adaptive neuro-fuzzy inference system (ECK-ANFIS) focused trust assessment with hybrid trust (HT) evaluation and optimal MANET routing. The ECK-ANFIS evaluates the trust after the nodes are initialised where, HT and the weight value, which are estimated for each node throughout the evaluation. The performance of the proposed mechanism has been measured using the various metrics defined in the existing protocols and also proved the superiority of the scheme by comparing it with other related ones.

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