Distributed and Accurate Packet Reception Rate Estimation under Cross-Technology Interference
Wei Liu, Yu Xia, Ming Xu, Jian Xie, Rong Luo, Daqing Huang · 2020
Cross-Technology Interference (CTI) greatly affects the performance of low power sensor networks, especially under severe WiFi interference. Fast and accurate packet reception rate estimation under CTI is crucial for improving network efficiency and reducing packet retransmissions. However, there are many drawbacks in existing approaches such as low accuracy, high overhead, and requirement of offline training. In this paper, a theoretical packet reception rate estimation approach is proposed, which combines bit error rate model of IEEE 802.15.4 with noise distribution ingeniously. This approach is fully distributed that could effectively eliminate the overheads caused by transmitting measurement packets or collecting statistics of data packets. In addition, offline data collection and training are no longer needed. More importantly, the proposed approach is almost unaffected by the CTI level. Compared with state-of-the-art approaches, estimate error of the proposed one is reduced by at least 4.83%~79.54% under different CTI levels.