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Num Ant Factor Based Comprehensive Investigations over Linguistic Trust and Reputations Model in Mobile Sensor Networks

机译:基于Nant因子的移动传感器网络语言信任度和声誉模型综合研究

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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.
机译:信任是评估基于移动传感器网络的应用程序的主要问题。如今,人们期望从移动传感器网络中获得对人类难以控制的信任。在本文中,已经详尽地研究了语言信任和声誉模型。性能参数如准确性,路径长度和能耗已得到评估。此外,已经用模糊集的推理能力研究了满意度因子。数字蚂蚁因素已被认为是进行这项研究分析的主要因素。已经观察到数字因子对移动传感器网络系统的操作的影响。已经进行了仿真以验证结果。

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