Node localization based on Mixture-MCB for mobile sensor networks

The Monte-Carlo localization method (MCL) which is extensively used in robotics was adopted to resolve the problem of node localization in mobile sensor networks so that the mixture Monte-Carlo box method (Mixture-MCB) was proposed. This method improved the successful rate of sampling by the mixture sampling mode and therefore resolved the particle degeneration which often happens in traditional Monte-Carlo localization methods. Compared with other existing methods, Mixture-MCB is not only simple in computation, efficient for localization, but also robust to the variation of the environmental parameters. Thus this method is especially suitable for the large-scale mobile sensor networks which are composed of nodes with weak computation abilities. By comparing the computation complexity, localization precision and robustness with other methods, the feasibility and validity of the algorithm are illustrated in the simulations.