Hybrid optimized using grey wolf-flower pollination for wireless sensor network routing
Tóm tắt
Establishing energy efficient communication with minimum delay in wireless sensor networks (WSN) is a challenging task. Routing protocols are evolved to meet the WSN communication challenges. Optimal path selection for data transmission enhances the network lifetime and quality of services. Various optimization models have evolved so far for WSN routing. However, due to high convergence time and cost, there is a gap towards developing a better model to attain efficient routing. A hybrid optimization model using grey wolf optimization and flower pollination optimization algorithm is presented in this research work to select optimal route for data transmission. In the proposed network structure, the cluster heads are selected using Type 2 fuzzy logic and optimal paths are selected using a hybrid optimization algorithm considering the energy, delay, lifetime and delay parameters. The performance of proposed hybrid optimization is validated through simulation analysis and compared with existing optimization algorithms. The proposed routing model exhibits better performances attaining of minimum delay, energy consumption, and maximum throughput.
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