Farthest 2 Anchors in Radio Range Localization in Wireless Sensor Networks

Wireless sensor localization has become an essential requirement for realistic applications over wireless sensor networks (WSNs). Although some other systems have been proposed, these methods normally require heavy computational processes to overcome the presence of these errors. Because coarse accuracy is sufficient for most sensor network applications, a method for estimating unknown node positions in a sensor network based exclusively on connectivity-induced constraints is described. In this paper, we present F2A, a novel localization algorithm that is range-free, and its improved scheme AF2A will be proposed. These novel algorithms were algorithms to compute the location of position unknown node without distances measuring between anchors and themselves.

[1]  Tarek F. Abdelzaher,et al.  Range-free localization schemes for large scale sensor networks , 2003, MobiCom '03.

[2]  Bhaskar Krishnamachari,et al.  Sequence-Based Localization in Wireless Sensor Networks , 2008 .

[3]  B. R. Badrinath,et al.  Ad hoc positioning system (APS) , 2001, GLOBECOM'01. IEEE Global Telecommunications Conference (Cat. No.01CH37270).

[4]  Thomas Kleine-Ostmann,et al.  A data fusion architecture for enhanced position estimation in wireless networks , 2001, IEEE Communications Letters.

[5]  Deborah Estrin,et al.  GPS-less low-cost outdoor localization for very small devices , 2000, IEEE Wirel. Commun..

[6]  L. El Ghaoui,et al.  Convex position estimation in wireless sensor networks , 2001, Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213).

[7]  Barry E. Mullins,et al.  Energy cost and error performance of range-aware, anchor-free localization algorithms , 2008, Ad Hoc Networks.

[8]  Chih-Yung Chang,et al.  Distributed direction-based localization in wireless sensor networks , 2005, 10th IEEE Symposium on Computers and Communications (ISCC'05).

[9]  Deborah Estrin,et al.  Tradeoffs in Location Support Systems: The Case for Quality-Expressive Location Models for Applications , 2001 .