Optimal Coverage of Wireless Sensor Networks Based on Artificial Algae Algorithm (aaa)

Abstract

In the past few years, the demand for wireless sensor networks has increased significantly due to its small size, low cost and high efficiency. It has been used in many applications and in multiple fields. Owing to the everincreasing number of applications using the wireless sensor network, it was necessary to find solutions to the problems and challenges faced by the wireless sensor network. One of the important challenges faced by Wireless Network Sensor is coverage. The nodes bear the actual liability to cover the pre-defined region. That's means the sensor nodes is placed in such a way as to achieve the maximal coverage of the area. Artificial alga algorithm (AAA), which is a very effective optimization method, has been used to find the suitable solutions for the coverage problem. The results were compared with the results of three algorithms (Artificial bee colony algorithm (ABC), particle swarm optimization algorithm (PSO) & Differential evolution Algorithm (DE)) to address the coverage problem. AAA proved to be more effective in solving the coverage problem. The simulation of the algorithms is performed by MATLAB and the results are analyzed to show the effectiveness of the proposed algorithm.