2009 IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (2009)
Oct. 12, 2009 to Oct. 14, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WiMob.2009.71
Accurately determining the location of mobile wireless sensor nodes in real-time is essential for many purposes. This paper proposes a new and efficient algorithm for localization of mobile node(s) within a WSN. The proposed algorithm, called iterative CCA-MAP (iCCA-MAP), is based on the CCA-MAP algorithm which applies an efficient nonlinear data mapping technique. The latter has been shown to perform extremely well for localizing stationary nodes in WSNs. Simulation results show that the localization error results for both CCA-MAP and iCCA-MAP are similar. However, the computational time required for obtaining location results using the iterative CCA-MAP scheme is far smaller than that of the original CCA-MAP. The advantage of the proposed algorithm is that it can provide the mobile node's location information at near real-time, allowing for it to be applied at a much higher frequency in order to provide up-to-date estimations of the mobile node's position, which can result in a lower localization error.
Sensor networks, node localization, mobile nodes, neural networks
S. Alikhani, T. Kunz and M. St-Hilaire, "iCCA-MAP: A New Mobile Node Localization Algorithm," 2009 IEEE International Conference on Wireless and Mobile Computing, Networking and Communications(WIMOB), Marrakech, Morocco, 2009, pp. 382-387.