Channel-based Rate Selection for Commodity RFID Networks

Jiajia Guo, Caidong Gu, Si Chen, Hongwei Du, Xiaoxiao Wang, Jihong Yu, Wei Gong

Abstract: Backscatter communication has been an emerging research field in power-constrained and short-range wireless sensor networks. In RFID networks, sensors need to transfer masses of sensing data via backscatter communication. In order to meet this need, we propose a novel Channel-based Rate Selection framework (CRS). Specifically, we design a novel channel selection algorithm that covers each backscatter node at first and benefits as many nodes as possible meanwhile. Then, considering the difference among the rate requirements of different backscatter nodes, we choose different data rates for different nodes on a selected channel. We implement all experiments via traces captured by a commercial reader. Experiment results show that CRS achieves up to 21.4% throughput gain compared with state-of-the-art rate adaptation algorithm.