Abstract
Mobile ad hoc network is an infrastructure-less network of distributed nodes. It is spontaneous, self-organized, and also dynamic. In ad hoc environment, due to frequent communication among nodes and lack of enough information about nodes, it is complicated to measure trust. It has been observed that the nature of trust is dynamic that means its value varies with respect to time. Therefore, fuzzy logic is the more suitable technique for expressing and computing the node’s trust value than other existing probabilistic approach. In this paper, node’s trust values are converted into membership function of the fuzzy logic with the help of Gaussian membership function for clustered ad hoc network. Then cluster head is able to obtain the highly trusted nodes by the fuzzy logic-based max-min composition technique for the purpose of successful communication between sources and destination, so that it can be able to identify and save the nodes against non-cooperative nodes efficiently. It saves the energy consumption by avoiding packet delivery to the non-cooperative nodes by selecting the trusted neighbors for the purpose of communication. Therefore, we have been able to design a reliable and better throughput trust routing method for clustered ad hoc network using max-min composition technique of the membership function of fuzzy logic.
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Joydeep Kundu, Koushik Majumder, Debashis De (2016). An Efficient Trust-Based Routing Scheme by Max-Min Composition of Fuzzy Logic for MANET. In: Afzalpulkar, N., Srivastava, V., Singh, G., Bhatnagar, D. (eds) Proceedings of the International Conference on Recent Cognizance in Wireless Communication & Image Processing. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2638-3_50
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DOI: https://doi.org/10.1007/978-81-322-2638-3_50
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