Combing Fuzzy Clustering and PSO Algorithms to Optimize Energy Consumption in WSN Networks
Amir Javadpour, Niusha Adelpour, Guojun Wang, Tao Peng · 2018
In wireless sensor networks, nodes are distributed in the environment and there is no access to replace batteries. Therefore, providing an algorithm to reduce energy consumption is a great major challenge. Heuristic algorithms can find best solutions (close to optimal solution) in a short time for nondeterministic polynomial problems. Thus, these algorithms are applied in optimal problems in math and artificial intelligence because math optimization methods are slow to find optimal solution or cannot find solution. In this paper, Fuzzy clustering is used to join sensors in the network and the particle swarm optimization algorithm (PSO) is used to estimate the initial value of cluster heads. Then, we evaluate our proposed method by NS2 simulator. The proposed algorithm is compared with Enhanced optimized energy efficient routing protocol E-OEEPR which is investigated by energy consumption, Packet Delivery Ratio (PDR) and network throughput.