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A novel iterative localization algorithm based on Particle Filter with error control is proposed in this paper. First, each node's location is estimated by a cloud of particles and their weights. Second, Degree of Inconsistency(DoI) is proposed to detect the nodes with high error. DoI makes full use of the fact that node density is high and they are randomly and uniformly distributed. The nodes with...
Determining the location of nodes with error as low as possible in wireless sensor networks is an essential task for many applications. It can be shown that, in some case, evident location estimation errors would be brought even if the ranging error is low. This work involves a parameter called geometry favorable factor (GFF) to filter these ill case. We propose an improving method choosing the available...
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