Num Ant Factor Based Comprehensive Investigations over Linguistic Trust and Reputations Model in Mobile Sensor Networks
Trust is the prime concern for the evaluations of mobile sensor network-based applications. Trust in terms of human intractable levels is being expected form nowadays mobile sensor networks. In this paper, a linguistic trust and reputation model has been investigated in an exhaustive manner. The performance parameters like accuracy, path length, and energy consumption have been evaluated. Moreover, satisfaction factor has been investigated with the inference power of the fuzzy sets. Num ant factor has been considered as the major factor for this investigational analysis. The effects of num ant factor on the operations of the mobile sensor networks system have been observed. Simulations have been performed to validate the results.
KeywordsTrust Reputation LFTM Num ant Accuracy Path length Energy Satisfaction
- 2.Ramchurn, S.D., Sierra, C., Godo, L., Jennings, N.R.: A computational trust model for multi-agent interactions based on confidence and reputation. In: Proceedings of 6th International Workshop of Deception, Fraud and Trust in Agent Societies, pp. 69–75 (2003)Google Scholar
- 4.Gómez Mármol, F., Marín-Blázquez, J.G., Martínez Pérez, G.: A linguistic fuzzy logic enhancement for distributed networks. In: Third IEEE International Symposium on Trust, Security and Privacy for Emerging Applications, TSP 2010, Bradford, UK, pp. 838–845 (2010). ISBN 978-1-4244-7547-6Google Scholar
- 8.Verma, V.K., Singh, S., Pathak, N.P.: Collusion based realization of trust and reputation models in extreme fraudulent environment over static and dynamic wireless sensor networks. Int. J. Distrib. Sens. Netw. (2014). https://doi.org/10.1155/2014/672968. Advanced Convergence Technologies and Practices for Wireless Ad Hoc and Sensor NetworksCrossRefGoogle Scholar
- 10.Gomez Mármol, F., Martínez Perez, G.: TRMSim-WSN, trust and reputation models simulator for wireless sensor networks. In: Proceedings of the IEEE International Conference on Communications, IEEE ICC 2009, Communication and Information Systems Security Symposium, Dresden, Germany, June 2009Google Scholar