Demo Abstract : Cross-Technology Communication via PHY-Layer Emulation

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

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Author(s)

  • Wenchao Jiang
  • Zhijun Li
  • Ruofeng Liu
  • Ling Liu
  • Tian He

Detail(s)

Original languageEnglish
Title of host publicationSenSys’17
EditorsRasit Eskicioglu
PublisherAssociation for Computing Machinery
Volume2017-January
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 an emerging research direction providing a promising solution to the wireless coexistence problem in the ISM bands. However, the state-of-the-art CTC designs have intrinsic limitations in the throughput due to their use of coarse-grained packet-level information. In contrast, we propose to exploit the fine-grained signal modulation information via a technique called PHY-layer emulation to boost CTC throughput. We can embed a legitimate packet of a target technology, e.g., ZigBee, within the payload of a source technology, e.g., WiFi or Bluetooth Low Energy (BLE). At the mean time, we require no modification at the hardware or firmware at either sender or receiver. We can achieve 8,000x throughput from WiFi to ZigBee and 10,000x throughput from BLE to ZigBee compared to the state of the art. We also have a demo showcasing how our designs can be implemented on off-the-shelf smartphones for smart light bulbs control.

Research Area(s)

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

Citation Format(s)

Demo Abstract: Cross-Technology Communication via PHY-Layer Emulation. / Jiang, Wenchao; Li, Zhijun; Yin, Zhimeng et al.
SenSys’17. ed. / Rasit Eskicioglu. Vol. 2017-January Association for Computing Machinery, 2017. 40 (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