Pheromone and Path Length Factor-Based Trustworthiness Estimations in Heterogeneous Wireless Sensor Networks

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The energy consumption and the resource utilization are the most fundamental concerns to evaluate trustworthiness of any trust and reputation model (TRM) associated with heterogeneous wireless sensor networks (WSNs). However, existing TRMs used for WSNs are incapable of satisfying these concerns because of the gap between theoretical and actual evaluations. In this paper, we proposed investigations over initial pheromone and path length factor value for their strong influence on the performance of wireless sensor networks. Two important trust and reputation models are investigated namely: bio-inspired trust and reputation model and linguistic fuzzy trust and reputation (LFTM). The performance parameters, such as accuracy, path length, and energy consumption of sensor node operations, are evaluated. In addition, we emphasized over the satisfaction evaluation for LFTM model in the deployed WSN framework. Several experiments have been conducted to evaluate the efficiency of the proposed framework by keeping initial pheromone value fixed and path length factor varies and vice versa. The experimental results show that pheromone and path length factor affects to the performance of the above said trust and reputation models up to significant level in heterogeneous WSNs.