TY - GEN
T1 - A (near) zero-cost and universal method to combat multIPaths for RFID sensing
AU - Wang, Ge
AU - Qian, Chen
AU - Cui, Kaiyan
AU - Ding, Han
AU - Cai, Haofan
AU - Xi, Wei
AU - Han, Jinsong
AU - Zhao, Jizhong
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - There have been increasing interests in exploring the sensing capabilities of RFID to enable numerous IoT applications, including object localization, trajectory tracking, and human behavior sensing. However, most existing methods rely on the signal measurement either in a low multIPath environment, which is unlikely to exist in many practical situations, or with special devices, which increase the operating cost. This paper investigates the possibility of measuring 'multIPath-free' signal information in multIPath-prevalent environments simply using a commodity RFID reader. The proposed solution, Clean Physical Information Extraction (CPIX), is universal, accurate, and compatible to standard protocols and devices. CPIX improves RFID sensing quality with near zero cost-it requires no extra device. We implement CPIX and evaluate its effectiveness on improving the performance on tag localization. The results show that CPIX reduces the localization error by 30% to 50% and achieves the MOST accurate localization by commodity readers compared to existing work.
AB - There have been increasing interests in exploring the sensing capabilities of RFID to enable numerous IoT applications, including object localization, trajectory tracking, and human behavior sensing. However, most existing methods rely on the signal measurement either in a low multIPath environment, which is unlikely to exist in many practical situations, or with special devices, which increase the operating cost. This paper investigates the possibility of measuring 'multIPath-free' signal information in multIPath-prevalent environments simply using a commodity RFID reader. The proposed solution, Clean Physical Information Extraction (CPIX), is universal, accurate, and compatible to standard protocols and devices. CPIX improves RFID sensing quality with near zero cost-it requires no extra device. We implement CPIX and evaluate its effectiveness on improving the performance on tag localization. The results show that CPIX reduces the localization error by 30% to 50% and achieves the MOST accurate localization by commodity readers compared to existing work.
KW - Localization
KW - MultIPath
KW - RFID
KW - Sensing
UR - https://www.scopus.com/pages/publications/85075028624
U2 - 10.1109/ICNP.2019.8888143
DO - 10.1109/ICNP.2019.8888143
M3 - 会议稿件
AN - SCOPUS:85075028624
T3 - Proceedings - International Conference on Network Protocols, ICNP
BT - 27th IEEE International Conference on Network Protocols, ICNP 2019
PB - IEEE Computer Society
T2 - 27th IEEE International Conference on Network Protocols, ICNP 2019
Y2 - 7 October 2019 through 10 October 2019
ER -