Research Article
Scalable SOCP-based localization technique for wireless sensor network
@ARTICLE{10.4108/eai.1-1-2016.150815, author={Randa M. Abdelmoneem and Eman Shaaban}, title={Scalable SOCP-based localization technique for wireless sensor network}, journal={EAI Endorsed Transactions on Industrial Networks and Intelligent Systems}, volume={3}, number={6}, publisher={EAI}, journal_a={INIS}, year={2016}, month={1}, keywords={wireless sensor network, localization, second-order cone programming}, doi={10.4108/eai.1-1-2016.150815} }- Randa M. Abdelmoneem
Eman Shaaban
Year: 2016
Scalable SOCP-based localization technique for wireless sensor network
INIS
EAI
DOI: 10.4108/eai.1-1-2016.150815
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.
Copyright © 2016 E. Shaaban and R. M. Abdelmoneem, licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
