Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1109/INFOCOM42981.2021.9488716guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
research-article

RapidRider: Efficient WiFi Backscatter with Uncontrolled Ambient Signals

Published: 10 May 2021 Publication History

Abstract

This paper presents RapidRider, the first WiFi backscatter system that takes uncontrolled OFDM WiFi signals, e.g., 802.11a/g/n, as excitations and efficiently embeds tag data at the single-symbol rate. Such design brings us closer to the dream of pervasive backscatter communication since uncontrolled WiFi signals are everywhere. Specifically, we show that RapidRider can demodulate tag data for each OFDM symbol while previous systems rely on multi-symbol demodulation. Further, we design deinterleaving-twins decoding that enables RapidRider to use any uncontrolled WiFi signals as carriers. We prototype RapidRider using FPGAs, commodity radios, and USRPs. Comprehensive evaluations show that RapidRider’s maximum throughput is 3.92x and 1.97x better than FreeRider and MOXcatter. To accommodate cases where there is only one receiver available, we design RapidRider+ that can take productive data and tag data on the same packet. Results demonstrate that it can achieve an aggregated goodput of productive and tag data around 1 Mbps on average.

References

[1]
V. Liu, A. Parks, V. Talla, S. Gollakota, D. Wetherall, and J. R. Smith, “Ambient backscatter: wireless communication out of thin air,” in Proc. of ACM SIGCOMM, 2013.
[2]
D. Vasisht, G. Zhang, O. Abari, H. Lu, J. Flanz, and D. Katabi, “Inbody backscatter communication and localization,” in Proc. of ACM SIGCOMM, 2018.
[3]
M. Hessar, A. Najafi, and S. Gollakota, “Netscatter: Enabling large-scale backscatter networks.” in Proc. of USENIX NSDI, 2019.
[4]
P. Hu, P. Zhang, M. Rostami, and D. Ganesan, “Braidio: An integrated active-passive radio for mobile devices with asymmetric energy budgets,” in Proc. of ACM SIGCOMM, 2016.
[5]
J. Wang, H. Hassanieh, D. Katabi, and P. Indyk, “Efficient and reliable low-power backscatter networks,” in Proc. of ACM SIGCOMM, 2012.
[6]
O. Abari, D. Vasisht, D. Katabi, and A. Chandrakasan, “Caraoke: An etoll transponder network for smart cities,” in Proc. of ACM SIGCOMM, 2015.
[7]
V. Iyer, R. Nandakumar, A. Wang, S. B. Fuller, and S. Gollakota, “Living iot: A flying wireless platform on live insects,” in Proc. of ACM SIGCOMM, 2019.
[8]
P. Zhang and D. Ganesan, “Enabling bit-by-bit backscatter communication in severe energy harvesting environments,” in Proc. of USENIX NSDI, 2014.
[9]
P. Hu, P. Zhang, and D. Ganesan, “Laissez-faire: Fully asymmetric backscatter communication,” in Proc. of ACM SIGCOMM, 2015.
[10]
M. Rostami, J. Gummeson, A. Kiaghadi, and D. Ganesan, “Polymorphic radios: A new design paradigm for ultra-low power communication,” in Proc. of ACM SIGCOMM, 2018.
[11]
Q. Wang, J. Yu, C. Xiong, J. Zhao, S. Chen, R. Zhang, and W. Gong, “Efficient backscatter with ambient wifi for live streaming,” in Proc. of IEEE Globecom, 2020.
[12]
W. Gong, S. Chen, and J. Liu, “Towards higher throughput rate adaptation for backscatter networks,” in Proc. of IEEE ICNP, 2017.
[13]
H. Liu, W. Gong, X. Miao, K. Liu, and W. He, “Towards adaptive continuous scanning in large-scale rfid systems,” in Proc. of IEEE INFOCOM, 2014.
[14]
H. Liu, W. Gong, L. Chen, W. He, K. Liu, and Y. Liu, “Generic composite counting in rfid systems,” in Proc. of IEEE ICDCS, 2014.
[15]
W. Gong, H. Liu, K. Liu, Q. Ma, and Y. Liu, “Exploiting channel diversity for rate adaptation in backscatter communication networks,” in Proc. of IEEE INFOCOM, 2016.
[16]
W. Gong, H. Liu, J. Liu, X. Fan, K. Liu, Q. Ma, and X. Ji, “Channelaware rate adaptation for backscatter networks,” IEEE/ACM Transactions on Networking, vol. 26, no. 2, pp. 751–764, 2018.
[17]
K. Liu, Q. Ma, W. Gong, X. Miao, and Y. Liu, “Self-diagnosis for detecting system failures in large-scale wireless sensor networks,” IEEE Transactions on Wireless Communications, vol. 13, no. 10, pp. 5535– 5545, 2014.
[18]
W. Gong, I. Stojmenovic, A. Nayak, K. Liu, and H. Liu, “Fast and scalable counterfeits estimation for large-scale rfid systems,” IEEE/ACM transactions on networking, vol. 24, no. 2, pp. 1052–1064, 2015.
[19]
W. Gong, J. Liu, and Z. Yang, “Efficient unknown tag detection in largescale rfid systems with unreliable channels,” IEEE/ACM Transactions on Networking, vol. 25, no. 4, pp. 2528–2539, 2017.
[20]
W. Gong, S. Chen, J. Liu, and Z. Wang, “Mobirate: Mobility-aware rate adaptation using phy information for backscatter networks,” in Proc. of IEEE INFOCOM, 2018.
[21]
W. Gong, J. Liu, and Z. Yang, “Fast and reliable unknown tag detection in large-scale rfid systems,” in Proc. of ACM MobiHoc, 2016.
[22]
D. Bharadia, K. Joshi, M. Kotaru, and S. Katti, “Backfi: High throughput wifi backscatter,” in Proc. of ACM SIGCOMM, 2015.
[23]
P. Zhang, M. Rostami, P. Hu, and D. Ganesan, “Enabling practical backscatter communication for on-body sensors,” in Proc. of ACM SIGCOMM, 2016.
[24]
P. Zhang, D. Bharadia, K. Joshi, and S. Katti, “Hitchhike: Practical backscatter using commodity wifi,” in Proc. of ACM SenSys, 2016.
[25]
J. F. Ensworth and M. S. Reynolds, “Ble-backscatter: Ultralow-power iot nodes compatible with bluetooth 4.0 low energy (ble) smartphones and tablets,” IEEE Transactions on Microwave Theory and Techniques, vol. 65, no. 9, pp. 3360–3368, 2017.
[26]
P. Zhang, C. Josephson, D. Bharadia, and S. Katti, “Freerider: Backscatter communication using commodity radios,” in Proc. of ACM CONEXT, 2017.
[27]
V. Talla, M. Hessar, B. Kellogg, A. Najafi, J. R. Smith, and S. Gollakota, “Lora backscatter: Enabling the vision of ubiquitous connectivity,” in Proc. of ACM IMWUT, 2017.
[28]
A. Wang, V. Iyer, V. Talla, J. R. Smith, and S. Gollakota, “fm backscatter: Enabling connected cities and smart fabrics,” in Proc. of USENIX NSDI, 2017.
[29]
B. Kellogg, V. Talla, S. Gollakota, and J. R. Smith, “Passive wi-fi: Bringing low power to wi-fi transmissions,” in Proc. of USENIX NSDI, 2016.
[30]
V. Iyer, V. Talla, B. Kellogg, S. Gollakota, and J. Smith, “Inter-technology backscatter: Towards internet connectivity for implanted devices,” in Proc. of ACM SIGCOMM, 2016.
[31]
B. Kellogg, A. Parks, S. Gollakota, J. R. Smith, and D. Wetherall, “Wifi backscatter: Internet connectivity for rf-powered devices,” in Proc. of ACM SIGCOMM, 2014.
[32]
J. Zhao, W. Gong, and J. Liu, “Spatial stream backscatter using commodity wifi,” in Proc. of ACM MobiSys, 2018.
[33]
J. Zhao, W. Gong, and J. Liu, “X-tandem: Towards multi-hop backscatter communication with commodity wifi,” in Proc. of ACM MobiCom, 2018.
[34]
S. W. Smith et al., “The scientist and engineer’s guide to digital signal processing,” 1997.
[36]
B. Bloessl, M. Segata, C. Sommer, and F. Dressler, “An ieee 802.11 a/g/p ofdm receiver for gnu radio,” in Proceedings of the second workshop on Software radio implementation forum. ACM, 2013.
[37]
J. Zhao, W. Gong, and J. Liu, “Towards scalable backscatter sensor mesh with decodable relay and distributed excitation,” Signal, vol. 90, p. 80, 2020.
[38]
W. Gong, L. Yuan, Q. Wang, and J. Zhao, “Multiprotocol backscatter for personal iot sensors,” in Proc. of ACM CONEXT, 2020.
[39]
M. Zhang, J. Zhao, S. Chen, and W. Gong, “Reliable backscatter with commodity ble,” in Proc. of IEEE INFOCOM, 2020.
[40]
A. Varshney, O. Harms, C. Perez-Pénichet, C. Rohner, F. Hermans, and T. Voigt, “Lorea: A backscatter architecture that achieves a long communication range,” in Proc. of ACM SENSYS, 2017.
[41]
S. Naderiparizi, M. Hessar, V. Talla, S. Gollakota, and J. R. Smith, “Towards battery-free hd video streaming,” in Proc. of USENIX NSDI, 2018.

Cited By

View all
  • (2024)MultiRider: Enabling Multi-Tag Concurrent OFDM Backscatter by Taming In-band InterferenceProceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services10.1145/3643832.3661862(292-303)Online publication date: 3-Jun-2024
  • (2023)Target-oriented Few-shot Transferring via Measuring Task SimilarityProceedings of the 32nd ACM International Conference on Information and Knowledge Management10.1145/3583780.3615149(4465-4469)Online publication date: 21-Oct-2023

Index Terms

  1. RapidRider: Efficient WiFi Backscatter with Uncontrolled Ambient Signals
      Index terms have been assigned to the content through auto-classification.

      Recommendations

      Comments

      Information & Contributors

      Information

      Published In

      cover image Guide Proceedings
      IEEE INFOCOM 2021 - IEEE Conference on Computer Communications
      May 2021
      2503 pages

      Publisher

      IEEE Press

      Publication History

      Published: 10 May 2021

      Qualifiers

      • Research-article

      Contributors

      Other Metrics

      Bibliometrics & Citations

      Bibliometrics

      Article Metrics

      • Downloads (Last 12 months)0
      • Downloads (Last 6 weeks)0
      Reflects downloads up to 06 Oct 2024

      Other Metrics

      Citations

      Cited By

      View all
      • (2024)MultiRider: Enabling Multi-Tag Concurrent OFDM Backscatter by Taming In-band InterferenceProceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services10.1145/3643832.3661862(292-303)Online publication date: 3-Jun-2024
      • (2023)Target-oriented Few-shot Transferring via Measuring Task SimilarityProceedings of the 32nd ACM International Conference on Information and Knowledge Management10.1145/3583780.3615149(4465-4469)Online publication date: 21-Oct-2023

      View Options

      View options

      Get Access

      Login options

      Media

      Figures

      Other

      Tables

      Share

      Share

      Share this Publication link

      Share on social media