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Open AccessArticle

Elephant Herding Optimization for Energy-Based Localization

1
Instituto de Telecomunicações, Pólo II da Univ. de Coimbra, 3030-290 Coimbra, Portugal
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Instituto Politécnico de Portalegre, Departamento de Tecnologia, 7300-555 Portalegre, Portugal
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COPELABS, Universidade Lusófona de Humanidades e Tecnologias, Campo Grande 376, 1749-024 Lisboa, Portugal
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CTS/UNINOVA, Campus da FCT/UNL, Monte de Caparica, 2829-516 Caparica, Portugal
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Dep. de Eng. Elect. e de Computadores, Universidade de Coimbra, Pólo II, 3030-290 Coimbra, Portugal
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ISR/IST, LARSyS, Universidade de Lisboa, Av. Rovisco Pais 1, 1049-001 Lisbon, Portugal
*
Author to whom correspondence should be addressed.
Sensors 2018, 18(9), 2849; https://doi.org/10.3390/s18092849
Received: 2 July 2018 / Revised: 24 August 2018 / Accepted: 26 August 2018 / Published: 29 August 2018
(This article belongs to the Collection Positioning and Navigation)
This work addresses the energy-based source localization problem in wireless sensors networks. Instead of circumventing the maximum likelihood (ML) problem by applying convex relaxations and approximations, we approach it directly by the use of metaheuristics. To the best of our knowledge, this is the first time that metaheuristics are applied to this type of problem. More specifically, an elephant herding optimization (EHO) algorithm is applied. Through extensive simulations, the key parameters of the EHO algorithm are optimized such that they match the energy decay model between two sensor nodes. A detailed analysis of the computational complexity is presented, as well as a performance comparison between the proposed algorithm and existing non-metaheuristic ones. Simulation results show that the new approach significantly outperforms existing solutions in noisy environments, encouraging further improvement and testing of metaheuristic methods. View Full-Text
Keywords: nature inspired algorithms; swarm optimization; elephant search algorithm; energy-based localization; acoustic positioning; wireless sensor networks nature inspired algorithms; swarm optimization; elephant search algorithm; energy-based localization; acoustic positioning; wireless sensor networks
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Correia, S.D.; Beko, M.; Da Silva Cruz, L.A.; Tomic, S. Elephant Herding Optimization for Energy-Based Localization. Sensors 2018, 18, 2849.

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