An Energy-Efficient Wireless Sensor Deployment for Lifetime Maximization by Optimizing Through Improved Particle Swarm Optimization

Abstract

In the current situation, the problem that we are facing in the WSN is energy consumption of the sensor node, and it is the main challenge in the WSN. So, regarding this energy consumption issue, many researchers have proposed many protocols which give the best results in lifetime of network, consuming the less energy of the sensor node. However, the energy consumption is reduced using many protocols; here in this paper, the new technique advanced particle swarm optimization algorithm is used, by using this approach, the cluster head is selected, and also by using the MLE distance variance method, the unwanted or malicious nodes are detected and stopped the communication to any node, which gives benefit to energy consumption. If the CH is died unfortunately, the D-CH will be activated and it works as cluster head. Finally, we concluded that our proposed protocol gives the better accuracy when compared with the LEACH and PSO protocols; also it gives the better lifetime, PDR, and throughput.