Balasubramanian, D. Lubin and Govindasamy, V. (2019) Binary Monkey-King Evolutionary Algorithm for single objective target based WSN. EAI Endorsed Transactions on Internet of Things, 5 (19): 5. ISSN 2414-1399
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Abstract
INTRODUCTION: Target based WSN faces coverage issue in which many targets could not be efficiently covered by static deployed sensors.
OBJECTIVES: This paper covers the issue of coverage problems by deploying the sensors to cover all the targets with minimized sensors in number.
METHODS: This paper proposes a Binary based Monkey King Evolutionary Algorithm for solving target based WSN problem, the proposed model consist a Binary method for converting the continuous values into binary form to solve the choice of potential position to place the sensors.
RESULTS: The proposed algorithm is evaluated in a 50x50 grid and 100x100 grid to track the performance and the performance of the proposed is compared with GA and PSO.
CONCLUSION: This paper utilized the MKE algorithm for improving the efficiency of the target coverage problem in WSN. It mainly focused on a single objective-based solution providing for small scale problems. From the simulation results, it is provided that the proposed MKE algorithm obtained 1.86 % of the F-value, which is higher than the other optimization algorithms such as GA and PSO.
Item Type: | Article |
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Uncontrolled Keywords: | Single objective WSN, Genetic Algorithm, Particle Swarm Optimization, Monkey King Evolution Algorithm |
Subjects: | Q Science > QA Mathematics > QA76 Computer software |
Depositing User: | EAI Editor III. |
Date Deposited: | 14 Sep 2020 11:13 |
Last Modified: | 14 Sep 2020 11:13 |
URI: | https://eprints.eudl.eu/id/eprint/275 |