TY - GEN
T1 - Exploiting Residual Channel for Implicit Wi-Fi Backscatter Networks
AU - Kim, Taekyung
AU - Lee, Wonjun
N1 - Funding Information:
ACKNOWLEDGMENT This research was partly supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (No. 2017R1A2B2004811), and Next-Generation Information Computing Development Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (No. 2017M3C4A7083676). Wonjun Lee is the corresponding author.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/10/8
Y1 - 2018/10/8
N2 - The emerging deployment of IoT devices increasingly requires more energy-and-cost-efficient wireless links between devices. Nowadays backscatter networks, one of the most feasible technology to meet the requirement in IoT spaces, have evolved for better usability and wider coverage. The most likely consequence of the evolution is Wi-Fi backscatter networks that harmonize with widely deployed commercial devices. However recent Wi-Fi backscatter techniques are stuck in front of several hurdles. The backscatter techniques along with 802.11b devices impair the spectral efficiency of wireless channels and break backward compatibility. Meanwhile, the backscatter techniques along with the other types of 802.11 devices support only per-packet backscatter resulting poor performance. To tackle all these problems, we propose a flicker detector that achieves per-symbol in-band backscatter by exploiting residual channel of Wi-Fi packets. Our approach shows robust performance without any modification on the hardware and any side effect on wireless channels. Extensive experiments on a software-defined radio testbed demonstrate that our approach overcomes the hurdles of existing Wi-Fi backscatter networks.
AB - The emerging deployment of IoT devices increasingly requires more energy-and-cost-efficient wireless links between devices. Nowadays backscatter networks, one of the most feasible technology to meet the requirement in IoT spaces, have evolved for better usability and wider coverage. The most likely consequence of the evolution is Wi-Fi backscatter networks that harmonize with widely deployed commercial devices. However recent Wi-Fi backscatter techniques are stuck in front of several hurdles. The backscatter techniques along with 802.11b devices impair the spectral efficiency of wireless channels and break backward compatibility. Meanwhile, the backscatter techniques along with the other types of 802.11 devices support only per-packet backscatter resulting poor performance. To tackle all these problems, we propose a flicker detector that achieves per-symbol in-band backscatter by exploiting residual channel of Wi-Fi packets. Our approach shows robust performance without any modification on the hardware and any side effect on wireless channels. Extensive experiments on a software-defined radio testbed demonstrate that our approach overcomes the hurdles of existing Wi-Fi backscatter networks.
KW - Backscatter
KW - Internet of Things
KW - Wi-Fi
UR - http://www.scopus.com/inward/record.url?scp=85056198725&partnerID=8YFLogxK
U2 - 10.1109/INFOCOM.2018.8486273
DO - 10.1109/INFOCOM.2018.8486273
M3 - Conference contribution
AN - SCOPUS:85056198725
T3 - Proceedings - IEEE INFOCOM
SP - 1268
EP - 1276
BT - INFOCOM 2018 - IEEE Conference on Computer Communications
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE Conference on Computer Communications, INFOCOM 2018
Y2 - 15 April 2018 through 19 April 2018
ER -