Abstract
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.
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Verma, V.K. (2019). Num Ant Factor Based Comprehensive Investigations over Linguistic Trust and Reputations Model in Mobile Sensor Networks. In: Renault, É., Boumerdassi, S., Bouzefrane, S. (eds) Mobile, Secure, and Programmable Networking. MSPN 2018. Lecture Notes in Computer Science(), vol 11005. Springer, Cham. https://doi.org/10.1007/978-3-030-03101-5_12
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DOI: https://doi.org/10.1007/978-3-030-03101-5_12
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