Scalable SOCP-based localization technique for wireless sensor network
Node localization is one of the essential requirements to most applications of wireless sensor networks. Thispaper presents a detailed implementation of a centralized localization technique for WSNs based on SecondOrder Cone Programming (SOCP). To allow scalability, it also proposes a clustered loca...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
European Alliance for Innovation (EAI)
2016-01-01
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| Series: | EAI Endorsed Transactions on Industrial Networks and Intelligent Systems |
| Subjects: | |
| Online Access: | https://eudl.eu/pdf/10.4108/eai.1-1-2016.150815 |
| Summary: | Node localization is one of the essential requirements to most applications of wireless sensor networks. Thispaper presents a detailed implementation of a centralized localization technique for WSNs based on SecondOrder Cone Programming (SOCP). To allow scalability, it also proposes a clustered localization approachfor WSNs based on that centralized SOCP technique. The cluster solves the SOCP problem as a globalminimization problem to get positions of the cluster sensor nodes. To enhance localization accuracy, a clusterlevel 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 approachscales well for large networks and provides a considerable reduction in computation time while yielding goodlocalization accuracy. |
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| ISSN: | 2410-0218 |