Transparent cross-technology communication over data traffic

Wenchao Jiang, Zhimeng Yin, Song Mim Kim, Tian He

Research output: Chapter in Book/Report/Conference proceedingConference contribution

36 Scopus citations

Abstract

Cross-technology communication (CTC) techniques are introduced in recent literatures to explore the opportunities of collaboration between heterogeneous wireless technologies, such as WiFi and ZigBee. Their applications include context-aware services and global channel coordination. However, state-of-the-art CTC schemes either suffer from channel inefficiency, low throughput, or disruption to existing networks. This paper presents the CTC via data packets (DCTC), which takes advantage of abundant existing data packets to construct recognizable energy patterns. DCTC features (i) a significant enhancement in CTC throughput while (ii) keeping transparent to upper layer protocols and applications. Our design also features advanced functions including multiplexing to support concurrent transmissions of multiple DCTC senders and adaptive rate control according to the traffic volume. Testbed implementations across WiFi and ZigBee platforms demonstrate reliable bidirectional communication of over 95% in accuracy while achieving throughput 2.3x of the state of the art. Meanwhile, experiment results show that DCTC has little and bounded impact on the delay and throughput of original data traffic.

Original languageEnglish (US)
Title of host publicationINFOCOM 2017 - IEEE Conference on Computer Communications
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509053360
DOIs
StatePublished - Oct 2 2017
Event2017 IEEE Conference on Computer Communications, INFOCOM 2017 - Atlanta, United States
Duration: May 1 2017May 4 2017

Publication series

NameProceedings - IEEE INFOCOM
ISSN (Print)0743-166X

Other

Other2017 IEEE Conference on Computer Communications, INFOCOM 2017
Country/TerritoryUnited States
CityAtlanta
Period5/1/175/4/17

Bibliographical note

Funding Information:
Acknowledgement This work was supported in part by US NSF Grant CNS-1525235 and CNS-1444021.

Publisher Copyright:
© 2017 IEEE.

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