Bayesian node localisation in wireless sensor networks

Node localisation in wireless sensor networks is a difficult problem due to the large number of parameters to be estimated and the nonlinear relationship between the measurements and the parameters. Assuming the presence of a number of anchor nodes with known positions and a centralised architecture, a Bayesian algorithm for node localisation in wireless sensor networks is proposed. The algorithm is a refinement of an existing importance sampling method referred to as progressive correction. A simulation analysis shows that, with only a few anchor nodes, the proposed method is capable of accurately localising a large number of nodes.