Depuration based Efficient Coverage Mechanism for Wireless Sensor Network

Abstract

Background and Objectives: The quick response time and the coverage range are the crucial ‎factors by which the quality service of a wireless sensor network ‎can be acknowledged. In some cases, even networks possess ‎sufficient available bandwidth but due to coverage tribulations, the ‎customer satisfaction gets down suddenly. The increasing number of ‎nodes directly is neither a canny solution to overcome the coverage ‎problem nor a cost-effective. In fact, by changing the positions of the ‎deployed node sagaciously can resolve the coverage issue and seems ‎a cost-effective solution. Therefore, keeping all circumstances, a ‎Depuration based Efficient Coverage Mechanism (DECM) has been ‎developed. This algorithm suggests the new shifting positions for ‎previously deployed sensor nodes to fill the coverage gap.Methods: It is a redeployment process and accomplished in two rounds. The ‎first round avails the Dissimilitude Enhancement Scheme (DES)‎, ‎which searches the node to be shifted at new positions. The second ‎round controls the unnecessary movement of the sensor nodes by ‎the Depuration mechanism thereby the distance between previous ‎and new positions is reduced. ‎Results: The factors like loudness, pulse emission rate, maximum ‎frequency, and sensing radius are meticulously explored during ‎simulation rounds conducted by MATLAB. The performance of ‎DECM has been compared with superlative algorithms i.e., Fruit Fly ‎Optimization Algorithm (FOA)‎, Particle Swarm Optimization ‎‎(PSO)‎, ‎and Ant Colony Optimization ‎‎(ACO)‎ in terms of mean coverage ‎range, computation time, standard deviation, and network energy ‎diminution.‎Conclusion: According to the simulation results, the DECM has achieved more ‎than 98% coverage range, with a trivial computation time of nearly ‎‎0.016 seconds as compared to FOA, PSO, and ACO. ‎