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ABSTRACT
Nodes in a sensor network are often randomly distributed. To assign measurements to locations, each node has to determine its own position. Due to limited resources of the nodes, resource-aware positioning algorithms are required.
In this paper, we present the novel “Weighted Centroid Localization” algorithm (WCL). Compared to other approximative algorithms, WCL achieves a remarkable average positioning error below 6%. Moreover, the algorithm features simple implementation and scales well in large sensor networks. In contrast to exact algorithms using analytical equations and complex matrix operations, WCL requires only a very small memory footprint.
Published Online: 2007-12-14
Published in Print: 2005-June-20
© Copyright by K.G. Saur Verlag 2005
