Multi-target tracking based on features of sensing results and wireless parameters for physical wireless parameter conversion sensor networks

In wireless sensor network, in addition to long life operation and low complexity, small time delay and large traffic acceptance for supporting various machine-to-machine communications are required. Although physical wireless parameter conversion sensor network (PHY-C SN) achieves simultaneous data collection, the separation of mixed sensing results is a difficult problem. For separating each sequence of them, multi-target tracking technique is available, but failing when similar sequences are included in the sensing data. This paper proposes a novel data separation method based on multi-target tracking that uses both features of the sensing results and the wireless parameters. We show the accuracy of our method through computer simulations.