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 as NP-hard optimization problems, and approached through metaheuristics. This paper outlines an Ant Colony Optimization (ACO) used to solve routing problems in WSNs. We have studied an approach based on ACO. So, we designed an improved one that reduces energy consumption and prolongs WSN lifetime. Through simulation results, our proposal efficiency is validated. © 2014 Springer International Publishing.
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CITATION STYLE
El Ghazi, A., Ahiod, B., & Ouaarab, A. (2014). Improved ant colony optimization routing protocol for wireless sensor networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8593 LNCS, pp. 246–256). Springer Verlag. https://doi.org/10.1007/978-3-319-09581-3_17
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