NDLI: On the application of a hybrid Harmony Search algorithm to node localization in anchor-based Wireless Sensor Networks

Content Provider	IEEE Xplore Digital Library
Author	Manjarres, D. Del Ser, J. Gil-Lopez, S. Vecchio, M. Landa-Torres, I. Lopez-Valcarce, R.
Copyright Year	2011
Description	Author affiliation: Departamento de Teoría de la Señal y las Comunicaciones, University of Vigo, C/ Maxwell s/n, 36310 Vigo, Spain (Vecchio, M.; Lopez-Valcarce, R.) \|\| TELECOM Unit, TECNALIA RESEARCH & INNOVATION, P. Tecnológico, Ed. 202, 48170, Zamudio, Spain (Manjarres, D.; Del Ser, J.; Gil-Lopez, S.; Landa-Torres, I.)
Abstract	In many applications based on Wireless Sensor Networks (WSNs) with static sensor nodes, the availability of accurate location information of the network nodes may become essential. The node localization problem is to estimate all the unknown node positions, based on noisy pairwise distance measurements of nodes within range of each other. Maximum Likelihood (ML) estimation results in a non-convex problem, which is further complicated by the fact that sufficient conditions for the solution to be unique are not easily identified, especially when dealing with sparse networks. Thereby, different node configurations can provide equally good fitness results, with only one of them corresponding to the real network geometry. This paper presents a novel soft-computing localization technique based on hybridizing a Harmony Search (HS) algorithm with a local search procedure whose aim is to identify the localizability issues and mitigate its effects during the iterative process. Moreover, certain connectivity-based geometrical constraints are exploited to further reduce the areas where each sensor node can be located. Simulation results show that our approach outperforms a previously proposed meta-heuristic localization scheme based on the Simulated Annealing (SA) algorithm, in terms of both localization error and computational cost.
Starting Page	1014
Ending Page	1019
File Size	792832
Page Count	6
File Format	PDF
ISBN	9781457716768
ISSN	21647151
e-ISBN	9781457716768
DOI	10.1109/ISDA.2011.6121791
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-22
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis localization Wireless sensor networks Harmony Search flip ambiguity Estimation Distance measurement Wireless Sensor Networks Intelligent systems Optimization
Content Type	Text
Resource Type	Article

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