| Abstract |
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Wireless sensor networks (WSNs) in the dynamic system have various limitations, of which the limitation of using and supplying of energy, bandwidth limitation of wireless communication links among the nodes can be cited. In spite of the various applications of these networks and the efforts made to remove the constraints raised, the challenges remain. In this study, ARO optimization method is used which is responsible for the dynamic clustering of the system. Then, according to fuzzy algorithm, it performs optimal routing between the clusters. In the new proposed method here, F_WU_ARO wireless sensor network is defined, 200 sensors, randomly in a square-shaped area with an area of 100 meters have been uniformly distributed. Moreover, each cluster-head (CH) has the address or the location of its neighboring clusters and can send the relevant data in case needed. In the proposed hybrid method of F_WU_ARO, with the parameters used, the residual energy based on the death of the first, middle, and last network sensors showed an improvement in the level of system sustainability in comparison to F_WU_PSO algorithm at the values of 1.5, 3, and 5 percent, respectively. In addition, it showed a reduction in the time spent with the amount of 0.14 (based on the minute). |
