A Universal Routing Algorithm Based on Intuitionistic Fuzzy Multi-Attribute Decision-Making in Opportunistic Social Networks

With the vigorous development of big data and 5G era, in process communication, number information that needs to be forwarded is increasing. The traditional end-to-end communication mode has long been unable meet modern people. Therefore, it particularly important improve success rate forwarding under limited network resources. One method opportunistic social networks select appropriate relay nodes so as reduce hops save However, existing routing algorithms only consider how a more suitable node, but do not exclude untrusted before choosing node. To node premise saving resources, algorithm based on intuitionistic fuzzy decision-making model proposed. By analyzing real scene, innovatively proposes two universal measurement indexes attributes quantifies support degree opposition help forward by constructing matrix. are determined accurately using multi-attribute method. Simulation results show that, best case, IFMD 0.93, average delay, load, energy consumption lowest compared with Epidemic algorithm, Spray Wait NSFRE FCNS algorithm.