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37th Annual IEEE Conference on Local Computer Networks
Half-Symmetric Lens based localization algorithm for wireless sensor networks
Clearwater Beach, FL, USA USA
October 22-October 25
ISBN: 978-1-4673-1565-4
Noureddine Lasla, Research Center on Scientific and Technical Information (CERIST), Rue des 3 freres Aissou, Ben-Aknoun, Algiers, Algeria
Abdelouahid Derhab, Research Center on Scientific and Technical Information (CERIST), Rue des 3 freres Aissou, Ben-Aknoun, Algiers, Algeria
Abdelraouf Ouadjaout, Research Center on Scientific and Technical Information (CERIST), Rue des 3 freres Aissou, Ben-Aknoun, Algiers, Algeria
Miloud Bagaa, Research Center on Scientific and Technical Information (CERIST), Rue des 3 freres Aissou, Ben-Aknoun, Algiers, Algeria
Adlen Ksentiniy, IRISA - University of Rennes 1, Campus Universitaire de Beaulieu, France
Nadjib Badache, Research Center on Scientific and Technical Information (CERIST), Rue des 3 freres Aissou, Ben-Aknoun, Algiers, Algeria
The area-based localization algorithms use only the location information of some reference nodes, called anchors, to give the residence area of the remaining nodes. The current algorithms use triangle, ring or circle as a geometric shape to determine the sensors' residence area. Existing works suffer from two major problems: (1) in some cases, they might issue wrong decisions about nodes' presence inside a given area, or (2) they require high anchor density to achieve a low location estimation error. In this paper, we deal with the localization problem by introducing a new way to determine the sensors' residence area which shows a better accuracy than the existing algorithms. Our new localization algorithm, called HSL (Half Symmetric Lens based localization algorithm for WSN), is based on the geometric shape of half-symmetric lens. We also uses the Voronoi diagram in HSL to mitigate the problem of unlocalizable sensor nodes. Finally, we conduct extensive simulations to evaluate the performance of HSL. Simulation results show that HSL has better locatable ratio and location accuracy compared to representative state-of-the-art area-based algorithms.
Index Terms:
Sensors,Lenses,Shape,Estimation error,Wireless sensor networks,Accuracy,Simulation,accuracy,Localization,sensor network,area
Citation:
Noureddine Lasla, Abdelouahid Derhab, Abdelraouf Ouadjaout, Miloud Bagaa, Adlen Ksentiniy, Nadjib Badache, "Half-Symmetric Lens based localization algorithm for wireless sensor networks," lcn, pp.320-323, 37th Annual IEEE Conference on Local Computer Networks, 2012
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