research-article

Taming the Errors in Cross-Technology Communication: A Probabilistic Approach

Authors:

Xin NaAuthors Info & Claims

ACM Transactions on Sensor Networks (TOSN), Volume 18, Issue 1

Article No.: 3, Pages 1 - 20

https://doi.org/10.1145/3469031

Published: 22 October 2021 Publication History

Abstract

Cross-Technology Communication (CTC) emerges as a technology to enable direct communication across different wireless technologies. The state of the art on CTC employs physical-level emulation. Due to the protocol incompatibility and the hardware restriction, there are intrinsic emulation errors between the emulated signals and the legitimate signals. Unresolved emulation errors hurt the reliability of CTC and the achievable throughput, but how to improve the reliability of CTC remains a challenging problem. Taking the CTC from WiFi to BLE as an example, this work first presents a comprehensive understanding of the emulation errors. We then propose WEB, a practical CTC approach that can be implemented with commercial devices. The core design of WEB is split encoding: based on the probabilistic distribution of emulation errors, the WiFi sender manipulates its payload to maximize the successful decoding rate at the BLE receiver. We implement WEB and evaluate its performance with extensive experiments. Compared to two existing approaches, WEBee and WIDE, WEB reduces the SER (Symbol Error Rate) by 54.6% and 42.2%, respectively. For the first time in the community, WEB achieves practically effective CTC from WiFi to BLE, with an average throughput of 522.2 Kbps.

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Index Terms

Taming the Errors in Cross-Technology Communication: A Probabilistic Approach
1. Computer systems organization
  1. Embedded and cyber-physical systems
    1. Embedded systems
2. Networks
  1. Network protocols
    1. Cross-layer protocols
    2. Network protocol design
  2. Network types
    1. Cyber-physical networks
      1. Sensor networks

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Published In

cover image ACM Transactions on Sensor Networks

ACM Transactions on Sensor Networks Volume 18, Issue 1

February 2022

434 pages

ISSN:1550-4859

EISSN:1550-4867

DOI:10.1145/3484935

Editor:
Yunhao Liu
Tsinghua University, China

Issue’s Table of Contents

Copyright © 2021 Association for Computing Machinery.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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New York, NY, United States

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ACM Journals for the Design of Smart and Connected Systems

Publication History

Published: 22 October 2021

Accepted: 01 May 2021

Revised: 01 May 2021

Received: 01 September 2020

Published in TOSN Volume 18, Issue 1

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National Key R&D Program of China
National Science Fund of China
R&D Project of Key Core Technology and Generic Technology in Shanxi Province

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Cited By

Pan JLiu XBai YZhai DJiang JZhao D(2024)Illumination-Aware Low-Light Image Enhancement with Transformer and Auto-Knee CurveACM Transactions on Multimedia Computing, Communications, and Applications10.1145/366465320:8(1-23)Online publication date: 29-Jun-2024
https://dl.acm.org/doi/10.1145/3664653
Wang YLu TYao YZhang YXiong Z(2024)Learning to Hallucinate Face in the DarkIEEE Transactions on Multimedia10.1109/TMM.2023.329480826(2314-2326)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TMM.2023.3294808
Jin MWang XZhou C(2023)Key Agreement on IoT Devices With Echo ProfilingIEEE/ACM Transactions on Networking10.1109/TNET.2022.323064231:4(1795-1808)Online publication date: 3-Jan-2023
https://dl.acm.org/doi/10.1109/TNET.2022.3230642
Guo KZhang ZGuo HRen SWang LZhou XLiu C(2023)Video Super-Resolution Based on Inter-Frame Information Utilization for Intelligent TransportationIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2023.323770824:11(13409-13421)Online publication date: 23-Jan-2023
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Jin MHe YLiu YWang X(2022)Furtively Connecting IoT Devices with Acoustic Noise2022 21st ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)10.1109/IPSN54338.2022.00023(195-207)Online publication date: May-2022
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Jin MWang X(2022)Pairing IoT Devices with Spatial Keys2022 21st ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)10.1109/IPSN54338.2022.00021(171-182)Online publication date: May-2022
https://doi.org/10.1109/IPSN54338.2022.00021

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