Mobile social networks include a self-organizing system consisting of several mobile wireless nodes. Node behavior due to selfishness can significantly reduce performance on mobile social networks. A selfish node intends to use its resources only for itself and is reluctant to share them its neighbors. Therefore, identifying selfish nodes is very important to improve the performance of mobile social networks. In this paper, an improved method based on credit history for optimal detection of selfish nodes using the information distribution method is presented. The proposed method effectively recognizes selfish nodes and increases the cooperate motivation between network nodes. Among the various models, the fuzzy game theory model used to encourage the cooperation of selfish nodes is more efficient and about 98.5% of the packets have reached their destination on time, which in terms of energy consumption, delivery time and best use of the intermediate nodes outperforms other methods. If several intermediate nodes were willing to send packets, the node that had better conditions and provided better parameters and resources in return of the appropriate reward, was used based on the importance of the parameters in timely sending and lowest energy consumption. The remaining 1.5% of the nodes that were not suitable, removed from the network.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.