An Algorithm of Mobile Sensors Data Fusion Tracking for Wireless Sensor Networks

In this paper an algorithm of data fusion to track both of non-maneuvering and maneuvering targets with mobile sensors deployed in an WSN (wireless sensor network) is proposed and investigated. In addition, the “GATING” technique is also applied to solve the problem of MSDFT (mobile-sensor data fusion tracking) for targets, i.e., the research is constrained in an “limited area” for the reason of solving the complicated situation and reducing the computation burden happened when the multiple sensing events exist in a WSN environments. On the other hand, a simple approach which is implemented with an adaptive filter (Kalman filter) consists of a data association technique denoted as 1-step CML (conditional maximum likelihood). Furthermore, a variable structured model is established as an adaptive maneuvering compensator simultaneously to solve data association and targets maneuvering problems, i.e., a detection algorithm for tracking targets with multiple mobile sensors deployed in an WSN is investigated too. Moreover, for the purpose of improving the tracking performance, a multiple sensor fusion algorithm is suggested in this research. Finally, in order to validate the fact that such proposed tracking system is really to arrive at the goal, some simulations of multi-mobile sensor tracking based on the proposed method are conducted. Computer simulation results indicate that the approach successfully tracks the targets with multiple mobile sensors and illustrates precisely the outcome also. By the way, a piece of the developed simulating script with m-file (@Matlab) is appended for referring.