Multi-level Stable and Energy Efficient Clustering Protocol in WSN: A Review

Abstract

-In the homogeneous wireless sensor network, all the nodes have same energy and cannot take the benefits of node heterogeneity. Here, multi-level stable and energy efficient clustering protocol is studied, where network structure is divided into clusters. In each cluster, some advance nodes and normal nodes deployed randomly and super nodes assigned to cover the different sensing area. An ACO-PSO hybrid algorithm is applied for the path planning problem. Ant colony optimization is applied for the corresponding solutions and Particle Swarm Optimization is used to optimize the parameters in ACO and the parameters are selected self-adaptively. By applying this technique, the performance can be enhanced and results would be better Keywords -Wireless sensor network, heterogeneity, Ant colony optimization, Particle Swarm optimization.