Hybrid Crow Search and Grey Wolf Optimization Algorithm for Congestion Control in WSN

Abstract

In this paper, a novel congestion control method is developed for WSN. Here, a congestion control technique based on the multi-objective optimization algorithm called Hybrid Crow Search (CS) and Grey Wolf Optimization (GWO) named (CSGWO) algorithm for rate optimization and regulating data arrival rate to parent node from each child node is proposed. The multi-objective optimization model considers node energy in its fitness model. The priority-based transmission is set up as an optimization algorithm that controls the arrival rate based on priority: child node energy and output available bandwidth. To alleviate the congestion, rate modification to optimum value is exploited. The novel method is evaluated with conventional methods. Finally, the experimentation outcomes show that the developed model has superior outcomes comparing with the conventional algorithms.

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