BlueBee : a 10,000x Faster Cross-Technology Communication via PHY Emulation

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

87 Scopus Citations
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Author(s)

  • Wenchao Jiang
  • Ruofeng Liu
  • Zhijun Li
  • Song Min Kim
  • Tian He

Detail(s)

Original languageEnglish
Title of host publicationSenSys’17
Subtitle of host publicationProceedings of the 15th ACM Conference on Embedded Networked Sensor Systems
EditorsRasit Eskicioglu
PublisherAssociation for Computing Machinery
ISBN (print)9781450354592
Publication statusPublished - Nov 2017
Externally publishedYes

Publication series

NameSenSys - Proceedings of the ACM Conference on Embedded Networked Sensor Systems

Conference

Title15th ACM Conference on Embedded Networked Sensor Systems, SenSys 2017
PlaceNetherlands
CityDelft
Period6 - 8 November 2017

Abstract

Cross-Technology Communication is a promising solution proposed recently to the coexistence problem of heterogeneous wireless technologies in the ISM bands. The existing works use only the coarse-grained packet-level information for cross-technology modulation, suffering from a low throughput (e.g., 10bps). Our approach, called BlueBee, proposes a new direction by emulating legitimate ZigBee frames using a Bluetooth radio. Uniquely, BlueBee achieves dual-standard compliance and transparency by selecting only the payload of Bluetooth frames, requiring neither hardware nor firmware changes at the Bluetooth senders and ZigBee receivers. Our implementation on both USRP and commodity devices shows that BlueBee can achieve a more than 99% accuracy and a throughput 10,000x faster than the state-of-the-art CTC reported so far.

Research Area(s)

  • Bluetooth Low Energy, Cross Technology Communication, Internet of Things, Signal Emulation, ZigBee

Citation Format(s)

BlueBee: a 10,000x Faster Cross-Technology Communication via PHY Emulation. / Jiang, Wenchao; Yin, Zhimeng; Liu, Ruofeng et al.
SenSys’17: Proceedings of the 15th ACM Conference on Embedded Networked Sensor Systems. ed. / Rasit Eskicioglu. Association for Computing Machinery, 2017. 3 (SenSys - Proceedings of the ACM Conference on Embedded Networked Sensor Systems).

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review