ARNS: Adaptive RFID Network Scheduling for Device-Free Tracking

Abstract

In many RFID applicati ons, we conduct a RFID reader network to monitor a large number of tagged items. We also want to utilize this network to trace untagge d i te ms. In this paper, we pr opose ARNS-Adapti ve RFID Network Scheduling scheme for device-free tracking. In particular, we firstly depl oy a set of readers and reference tags into the monitored area. Then, we di vi de the tags within the read region of a reader i nto two groups, one in reader-to-reader collision area while the other not. We monitor the area by normal sampling model i n which we need two phases to separately query the two groups. When an un-tagged target appears in the monitored area, we adopt tracking sampling model. In tracking sampling mode, the reader who detects the tags' frequency vari ations will adapti vely query all tags in its read range to obtain the target's full trace. Meanwhile, we fill the missing path using shortest-path algorithm to recovery the trajectory. Experi mental results show that ARNS achieves high tracking accuracy for certain applicati ons.