TwinBee: Reliable Physical-Layer Cross-Technology Communication with Symbol-Level Coding

Yongrui Chen; Zhijun Li; Tian He

doi:10.1109/INFOCOM.2018.8485816

TwinBee: Reliable Physical-Layer Cross-Technology Communication with Symbol-Level Coding

Yongrui Chen
, Zhijun Li
, Tian He

Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

83 Scopus citations

Abstract

Cross-Technology Communication (CTC) is an enabling technology for efficient coexistence and effective cooperation among heterogeneous wireless devices by exchanging data frames directly without gateways. Recent advances in the physical-layer CTC achieve thousands of times faster speed than that of previous packet-level CTC techniques. However, physical-layer CTC still faces the challenge of inherent unreliability due to the imperfection of physical-layer signal emulation. Our work, named TwinBee, aims to recover the intrinsic errors of physical-layer CTC, by exploring chip-level error patterns. This is achieved interestingly without even observing the chip information and without any hardware modification. System evaluation shows that our key idea, namely symbol-level chip-combining decoding with soft mapping, significantly improves the Packet Reception Ratio (PRR) of the physical-layer CTC from 50%-60% to more than 99%. We also demonstrate the reliability of TwinBee in a data dissemination application over a network of 20 TelosB nodes, achieving over 40x reduction of data dissemination delay compared to Deluge.

Original language	English (US)
Title of host publication	INFOCOM 2018 - IEEE Conference on Computer Communications
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	153-161
Number of pages	9
ISBN (Electronic)	9781538641286
DOIs	https://doi.org/10.1109/INFOCOM.2018.8485816
State	Published - Oct 8 2018
Event	2018 IEEE Conference on Computer Communications, INFOCOM 2018 - Honolulu, United States Duration: Apr 15 2018 → Apr 19 2018

Publication series

Name	Proceedings - IEEE INFOCOM
Volume	2018-April
ISSN (Print)	0743-166X

Other

Other	2018 IEEE Conference on Computer Communications, INFOCOM 2018
Country/Territory	United States
City	Honolulu
Period	4/15/18 → 4/19/18

Bibliographical note

Funding Information:
IX. ACKNOWLEDGEMENT This work was supported in part by the NSF CNS-1444021, NSF CNS-1718456, NSF China 61303240, NSF China 61672196 and UCAS Cooperation Funding with Institutions Y41101W1A1. We sincerely thank anonymous reviewers for their valuable comments and feedback.

Publisher Copyright:
© 2018 IEEE.

Publisher link

10.1109/INFOCOM.2018.8485816

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TwinBee: Reliable Physical-Layer Cross-Technology Communication with Symbol-Level Coding. / Chen, Yongrui; Li, Zhijun; He, Tian.
INFOCOM 2018 - IEEE Conference on Computer Communications. Institute of Electrical and Electronics Engineers Inc., 2018. p. 153-161 8485816 (Proceedings - IEEE INFOCOM; Vol. 2018-April).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Chen, Y, Li, Z & He, T 2018, TwinBee: Reliable Physical-Layer Cross-Technology Communication with Symbol-Level Coding. in INFOCOM 2018 - IEEE Conference on Computer Communications., 8485816, Proceedings - IEEE INFOCOM, vol. 2018-April, Institute of Electrical and Electronics Engineers Inc., pp. 153-161, 2018 IEEE Conference on Computer Communications, INFOCOM 2018, Honolulu, United States, 4/15/18. https://doi.org/10.1109/INFOCOM.2018.8485816

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abstract = "Cross-Technology Communication (CTC) is an enabling technology for efficient coexistence and effective cooperation among heterogeneous wireless devices by exchanging data frames directly without gateways. Recent advances in the physical-layer CTC achieve thousands of times faster speed than that of previous packet-level CTC techniques. However, physical-layer CTC still faces the challenge of inherent unreliability due to the imperfection of physical-layer signal emulation. Our work, named TwinBee, aims to recover the intrinsic errors of physical-layer CTC, by exploring chip-level error patterns. This is achieved interestingly without even observing the chip information and without any hardware modification. System evaluation shows that our key idea, namely symbol-level chip-combining decoding with soft mapping, significantly improves the Packet Reception Ratio (PRR) of the physical-layer CTC from 50\%-60\% to more than 99\%. We also demonstrate the reliability of TwinBee in a data dissemination application over a network of 20 TelosB nodes, achieving over 40x reduction of data dissemination delay compared to Deluge.",

author = "Yongrui Chen and Zhijun Li and Tian He",

note = "Funding Information: IX. ACKNOWLEDGEMENT This work was supported in part by the NSF CNS-1444021, NSF CNS-1718456, NSF China 61303240, NSF China 61672196 and UCAS Cooperation Funding with Institutions Y41101W1A1. We sincerely thank anonymous reviewers for their valuable comments and feedback. Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE Conference on Computer Communications, INFOCOM 2018 ; Conference date: 15-04-2018 Through 19-04-2018",

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TwinBee: Reliable Physical-Layer Cross-Technology Communication with Symbol-Level Coding

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