A cooperative framework for realtime mobility tracking in WLANs

Mobility tracking is the technology to estimate the mobile users´ location or trajectory in wireless networks. The accuracy of location estimation and the complexity of computing are the two critical factors for realtime mobility tracking algorithms. This paper proposes a Extended Kalman Filter based cooperative framework for mobility tracking in WLANs, in which the mobile nodes determine their locations not only based on the measurements from the fixed reference nodes, e.g. access points, but also consider the measurements between their mobile neighbors. Comparing with other existing conventional non-cooperative schemes, the simulation results demonstrate that our proposed algorithm can achieve better accuracy of location estimation, while can keep efficient as normal realtime tracking algorithms.