Asian Journal of Engineering and Technology Innovation

Analysis of PSO Clustering Algorithm for Underwater Acoustic Sensor Networks

Vani Krishnaswamy, Shyam Sunder, Shubham Sharma, Swapnil Siddharth, Sandeep P

School of Computing and Information Technology, REVA University, Bangalore-64

Abstract

To discover the lexicon of ocean, acoustic communication is used as the prime technology in underwater environment. Due to deficient of constant and adequate power supply and unable to use radio frequency signals in underwater environment, acoustic signals are used as the only means for underwater communication. This paper focuses on learning the fundamental idea of biologically computed optimized clustering algorithm like PSO (Particle Swarm Optimization) used in cluster based networks in underwater environment. The optimization of the sensornodes can be determined through the objectives considered like 1) fitness function of the sensor node 2) Selection of cluster head considering its energy, load and range.The simulation results prove that the PSO algorithm can efficiently increase the load balance and enhance the lifespan of the network.

Keywords:

UANs, PSO, clustering, fitness function