Scalable SOCP-based localization technique for wireless sensor network
Journal Title: EAI Endorsed Transactions on Industrial Networks and Intelligent Systems - Year 2016, Vol 3, Issue 6
Abstract
Node localization is one of the essential requirements to most applications of wireless sensor networks. This paper presents a detailed implementation of a centralized localization technique for WSNs based on Second Order Cone Programming (SOCP). To allow scalability, it also proposes a clustered localization approach for WSNs based on that centralized SOCP technique. The cluster solves the SOCP problem as a global minimization problem to get positions of the cluster sensor nodes. To enhance localization accuracy, a cluster level refinement step is implemented using Gauss-Newton optimization. The initial position for the Gauss- Newton optimization is the position drawn from the preprocessor SOCP localization. The proposed approach scales well for large networks and provides a considerable reduction in computation time while yielding good localization accuracy.
Authors and Affiliations
Randa M. Abdelmoneem, Eman Shaaban
Keywords
Related Articles
- EP ID EP46041
- DOI http://dx.doi.org/10.4108/eai.1-1-2016.150815
- Views 270
- Downloads 0
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