Wang, W, He, D, Jia, W et al. (6 more authors) (2021) PRComm: Anti-Interference Cross-Technology Communication Based on Pseudo-random Sequence. In: IPSN '21: Proceedings of the 20th International Conference on Information Processing in Sensor Networks (co-located with CPS-IoT Week 2021). IPSN '21: The 20th International Conference on Information Processing in Sensor Networks, 18-21 May 2021, Nashville, TN, USA. Association for Computing Machinery (ACM) , pp. 163-175. ISBN 978-1-4503-8098-0
Abstract
With the rapid development of the Internet of Things (IoT), we have seen a larger number of devices deployed with different wireless communication protocols (i.e., WiFi, ZigBee, Bluetooth). Working in the same place opens a new opportunity for these devices to communicate directly with each other, leveraging on Cross-technology Communication (CTC). However, since these devices operate in the same frequency band which results in the competition against each other for network resources, severe interfere may arise. In this paper, we explore pseudo-random sequence (PR sequence) to design a novel CTC protocol that enables low-cost direct communication between WiFi and ZigBee in noisy indoor environments. Pseudorandom sequence offers a unique statistical feature to accomplish both information transmission and synchronization between heterogeneous devices. We design a dynamic synchronous decoding strategy to handle interference coexisted among different wireless protocols. Our system does not require any modification of communication protocol and underlying hardware and firmware. We implement our system on commercial devices (Intel 5300 WiFi NIC and MicaZ CC2420), and conduct extensive experiments to evaluate the system performance in three typical scenarios. The experimental results show that the synchronization time of our approach is lower than 0.5 ms, and the accuracy is greater than 84% while the channel occupancy is as high as 50%.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Keywords: | Cross-Technology Communication, coexistence interference, related-coding, pseudo-random sequence |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) > Statistics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 26 May 2022 14:27 |
Last Modified: | 26 May 2022 14:27 |
Status: | Published |
Publisher: | Association for Computing Machinery (ACM) |
Identification Number: | 10.1145/3412382.3458264 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:187314 |