Abstract
Radio tomographic imaging (RTI) is an inexpensive and efficient localization technology. RTI uses the received signal strength (RSS) variation caused by the blockage of the target to obtain the location of the target. Due to insignificant RSS variation with a long communication range, the traditional RTI cannot be directly used over large areas. By zoning the search area, this paper proposed a handover mechanism for large areas RTI that relies on the state revolution of the target. In particular, at one moment, only one area performs environment sensing. When the target is predicted to exist in one area, the sensors of that area are activated, while the others are configured to sleep. Moreover, we compare our new protocol for RTI-based localization with the traditional method. Finally, we realize our method in an experiment that shows its feasibility and efficiency in tracking and handover in large-scale environments.
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