Network Life Time Analysis of WSNs Using Particle Swarm Optimization
Amita Yadav, Suresh Kumar V, Vijendra Pratap Singh · Procedia Computer Science · 2018
Today, Wireless Sensor Networks (WSN’s) are used at various places in the form of alarm detectors and sensors. Numbers of clustering algorithms have been developed to improve the energy balance of the WSN’s because energy is the main aspect of WSN’s during data transmission. These algorithms are mainly used for increasing the lifetime of these sensor networks. One such basic algorithm is LEACH. Energy efficient algorithms and load balancing are used during the clustering algorithms. This paper suggests an algorithm based on Particle Swarm Optimization (PSO) technique for improving network life time. It helps in forming the clusters as well as the Cluster Head (CH) selection. The proposed algorithm is extensively experimented and then the results of this algorithm are compared with the previously proposed algorithms such as LEACH, etc. It is concluded that the PSO based clustering algorithm gives better results.