POISONOUS GAS DETECTION BY WIRELESS SENSOR NETWORK BASED ON ANT LION OPTIMIZATION ALGORITHM

  • Famitha H, Dr. D Subitha

Abstract

            Wireless Sensor Networks (WSNs) consist of autonomous nodes, deployed to monitor various environments (even under hostility). Major challenges arise from its limited energy, communication failures and computational weakness. Many issues in WSNs are formulated NP-hard optimization problems, and approached through metaheuristics. This paper outlines optimization alogorithms like Ant Colony Optimization (ACO) and Lion Optimization Algorithm (LOA) used to solve routing problems in WSNs. We have studied an approach based on ACO and LAO. So, we designed an improved one that reduces energy consumption and prolongs WSN lifetime. Through simulation results, our proposal efficiency is validated.

Published
2020-03-20
How to Cite
Dr. D Subitha, F. H. (2020). POISONOUS GAS DETECTION BY WIRELESS SENSOR NETWORK BASED ON ANT LION OPTIMIZATION ALGORITHM. International Journal of Control and Automation, 13(02), 55 - 62. Retrieved from https://sersc.org/journals/index.php/IJCA/article/view/6412
Section
Articles