Half-Symmetric Lens based localization algorithm for wireless sensor networks

dc.contributor.authorLasla, Noureddine
dc.contributor.authorDerhab, Abdelouahid
dc.contributor.authorOuadjaout, Abdelraouf
dc.contributor.authorBagaa, Miloud
dc.contributor.authorKsentini, Adlen
dc.contributor.authorBadache, Nadjib
dc.description.abstractThe 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.fr_FR
dc.relation.ispartofLocal Computer Network (LCN)
dc.relation.ispartofseriesLocal Computer Network (LCN);
dc.relation.placeFlorida, USAfr_FR
dc.structureRéseaux de Capteurs et Applicationsfr_FR
dc.subjectLocalization, sensor network, area, accuracyfr_FR
dc.titleHalf-Symmetric Lens based localization algorithm for wireless sensor networksfr_FR
dc.typeConference paper