Adaptive Kalman Filtering Based Location Coordination Algorithm for Wireless Sensor and Actor Networks

Aiming at dynamic location coordination that is vital to the topology control and wireless communication for the actor on wireless sensor and actor networks(WSANs), We put forward a strategy for the optimum coordination process by location prediction and researched the algorithm for the three-dimensional sensor actor location coordination based on Kalman filtering theory, which could obtain desired precision and real-time performance. Owing to the adduction of the current acceleration model in the Kalman filtering process, the algorithm holds a capability of strongly adaptive kinematic location saltation and track. The case for the application of link mobility metrics makes out that the algorithm can become the basic algorithm for the proactive routing, proactive clustering and cognitive networks. At last, the Matlab simulation result shows the good performance of the algorithm.