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A RSSI-Based Distributed Weighted Search Localization Algorithm for WSNs.
- Source :
-
International Journal of Distributed Sensor Networks . 4/28/2015, Vol. 2015, p1-11. 11p. - Publication Year :
- 2015
-
Abstract
- In order to solve the node localization problem in wireless sensor networks, we propose a novel distributed weighted search localization algorithm (WSLA) in this paper. The WSLA adopts a modified received signal strength indicator-based range model to estimate the distances between nodes, utilizes the results of a centroid localization algorithm as the search initial point, and employs a new weighted search method to compute the positions of nodes in a distributed and recursive manner. The key ideas of the WSLA include a node localization precision classification scheme, a processing scheme for special nodes, and weight-based searches. Compared with three state-of-art localization algorithms—namely, maximum likelihood estimation (MLE), edge-based second-order cone programming + nonconvex sequential greedy (ESOCP + NCSG), and particle swarm optimization (PSO)—the simulation results show that localization performance of the WSLA is superior to that of MLE, ESOCP + NCSG, and PSO. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 15501329
- Volume :
- 2015
- Database :
- Academic Search Index
- Journal :
- International Journal of Distributed Sensor Networks
- Publication Type :
- Academic Journal
- Accession number :
- 109271783
- Full Text :
- https://doi.org/10.1155/2015/293403