Wireless Sensor Networks (WSNs) are usually randomly deployed in a region of interest. As a result, algorithms that can determine the location of sensor nodes within a WSN are of great importance. In recent years, several localisation algorithms have been proposed for stationary WSNs. Due to the growing number of applications requiring mobility, algorithms for localising mobile WSNs have also gained much interest as of late. In this paper, we present our recent works on localisation algorithms for WSNs. An algorithm for mobile WSNs, which extends the stationary CCA-MAP algorithm, is presented. The algorithm, called iCCA-MAP, applies an iterative and efficient nonlinear data mapping technique in order to localise the position of a mobile node within a WSN. Simulations detailing the performance of iCCA-MAP are outlined and discussed. We also describe the implementation of the CCA-MAP localisation algorithm on a real WSN testbed. Most localisation algorithms that have been proposed only provide simulation results and have never been implemented on a real testbed. The results obtained show that the implementation results are consistent with the simulation results. Copyright

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Keywords CCA, CCA-MAP, Curvilinear component analysis, ICCA-MAP, Implementation, Localisation algorithm, Mobile nodes, Mobility, Sensor nodes, Simulation, Testbed experiments, Wireless sensor networks, WSN
Persistent URL dx.doi.org/10.1504/IJAACS.2014.058014
Journal International Journal of Autonomous and Adaptive Communications Systems
Alikhani, S. (Shafagh), Al-Odhari, A. (Ahmed), Dirie, A. (Ahmed), Beki, H.O. (Hamed Omid), Sirko, L. (Laryssa), St-Hilaire, M, & Kunz, T. (2014). CCA-MAP and iCCA-MAP: Stationary and mobile WSN localisation algorithms. International Journal of Autonomous and Adaptive Communications Systems, 7(1-2), 21–48. doi:10.1504/IJAACS.2014.058014