Edge-Cloud Collaborative Interference Mitigation with Fuzzy Detection Recovery for LPWANs

Peiyuan Qin; Luoyu Mei; Qi Jing; Shuai Wang; Zhimeng Yin; Xiaolei Zhou

doi:10.1109/CSCWD54268.2022.9776037

Edge-Cloud Collaborative Interference Mitigation with Fuzzy Detection Recovery for LPWANs

Peiyuan Qin
, Luoyu Mei
, Qi Jing
, Shuai Wang
, Zhimeng Yin
, Xiaolei Zhou

Department of Computer Science

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

2 Citations (Scopus)

Abstract

Recent researches have mitigated interference by utilizing cloud assistance or cloud-edge collaboration for Low-Power Wide-Area Networks. However, the issue of long interference recovery time prevents these methods from being well utilized in practical scenarios. In this paper, we propose a novel method, called FDR, for Edge-Cloud collaborative interference mitigation with Fuzzy Detection Recovery, which recovers errors in real-time. Our design (i) utilizes gateways and cloud servers and (ii) reduces data transmissions with fuzzy detection codes for real-time error recovery. In our design, each gateway detects and reports the fuzzy positions of errors to the cloud. Then the cloud restores packets with fuzzy detection results. FDR takes the advantage of both the computational ability of the cloud and the error detection benefit of each gateway. We design and implement FDR with commodity devices including LoRa SX1280 and the USRP-B210 platform. Experimental results show that FDR reduces recovery time by 78.53% compared with the state-of-art, and recovers interfered data packets accurately when the packet damage rate reaches 45.72%.

Original language	English
Title of host publication	Proceedings of the 2022 IEEE 25^th International Conference on Computer Supported Cooperative Work in Design (CSCWD)
Editors	Weiming Shen, Jean-Paul Barthès, Junzhou Luo, Gang Chen, Jinghui Zhang, Haibin Zhu, Kunkun Peng
Publisher	IEEE
Pages	792-797
ISBN (Electronic)	9781665405270, 978-1-6654-0526-3
ISBN (Print)	978-1-6654-0763-2
DOIs	https://doi.org/10.1109/CSCWD54268.2022.9776037
Publication status	Published - 2022
Event	2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD 2022) - Blossom Tao Hotel (Hangzhou International Expo Center), Hangzhou, China Duration: 4 May 2022 → 6 May 2022 http://8.131.80.51/cscwd2022/Venue.html

Publication series

Name	IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD

Conference

Conference	2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD 2022)
Place	China
City	Hangzhou
Period	4/05/22 → 6/05/22
Internet address	http://8.131.80.51/cscwd2022/Venue.html

Research Keywords

Fuzzy Detection
Low-Power Wide-Area Networks (LP-WANs)
Signal Real-Time Recovery

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10.1109/CSCWD54268.2022.9776037

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Cite this

Qin, P., Mei, L., Jing, Q., Wang, S., Yin, Z., & Zhou, X. (2022). Edge-Cloud Collaborative Interference Mitigation with Fuzzy Detection Recovery for LPWANs. In W. Shen, J.-P. Barthès, J. Luo, G. Chen, J. Zhang, H. Zhu, & K. Peng (Eds.), Proceedings of the 2022 IEEE 25^th International Conference on Computer Supported Cooperative Work in Design (CSCWD) (pp. 792-797). (IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD). IEEE. https://doi.org/10.1109/CSCWD54268.2022.9776037

Qin, Peiyuan ; Mei, Luoyu ; Jing, Qi et al. / Edge-Cloud Collaborative Interference Mitigation with Fuzzy Detection Recovery for LPWANs. Proceedings of the 2022 IEEE 25^th International Conference on Computer Supported Cooperative Work in Design (CSCWD). editor / Weiming Shen ; Jean-Paul Barthès ; Junzhou Luo ; Gang Chen ; Jinghui Zhang ; Haibin Zhu ; Kunkun Peng. IEEE, 2022. pp. 792-797 (IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD).

@inproceedings{5671177747a5466fa1c5fb3531d2aec1,

title = "Edge-Cloud Collaborative Interference Mitigation with Fuzzy Detection Recovery for LPWANs",

abstract = "Recent researches have mitigated interference by utilizing cloud assistance or cloud-edge collaboration for Low-Power Wide-Area Networks. However, the issue of long interference recovery time prevents these methods from being well utilized in practical scenarios. In this paper, we propose a novel method, called FDR, for Edge-Cloud collaborative interference mitigation with Fuzzy Detection Recovery, which recovers errors in real-time. Our design (i) utilizes gateways and cloud servers and (ii) reduces data transmissions with fuzzy detection codes for real-time error recovery. In our design, each gateway detects and reports the fuzzy positions of errors to the cloud. Then the cloud restores packets with fuzzy detection results. FDR takes the advantage of both the computational ability of the cloud and the error detection benefit of each gateway. We design and implement FDR with commodity devices including LoRa SX1280 and the USRP-B210 platform. Experimental results show that FDR reduces recovery time by 78.53\% compared with the state-of-art, and recovers interfered data packets accurately when the packet damage rate reaches 45.72\%.",

keywords = "Fuzzy Detection, Low-Power Wide-Area Networks (LP-WANs), Signal Real-Time Recovery",

author = "Peiyuan Qin and Luoyu Mei and Qi Jing and Shuai Wang and Zhimeng Yin and Xiaolei Zhou",

year = "2022",

doi = "10.1109/CSCWD54268.2022.9776037",

language = "English",

isbn = "978-1-6654-0763-2",

series = "IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD",

publisher = "IEEE",

pages = "792--797",

editor = "Weiming Shen and Jean-Paul Barth{\`e}s and Junzhou Luo and Gang Chen and Jinghui Zhang and Haibin Zhu and Kunkun Peng",

booktitle = "Proceedings of the 2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD)",

address = "United States",

note = "2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD 2022) ; Conference date: 04-05-2022 Through 06-05-2022",

url = "http://8.131.80.51/cscwd2022/Venue.html",

}

Qin, P, Mei, L, Jing, Q, Wang, S, Yin, Z & Zhou, X 2022, Edge-Cloud Collaborative Interference Mitigation with Fuzzy Detection Recovery for LPWANs. in W Shen, J-P Barthès, J Luo, G Chen, J Zhang, H Zhu & K Peng (eds), Proceedings of the 2022 IEEE 25^th International Conference on Computer Supported Cooperative Work in Design (CSCWD). IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD, IEEE, pp. 792-797, 2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD 2022), Hangzhou, China, 4/05/22. https://doi.org/10.1109/CSCWD54268.2022.9776037

Edge-Cloud Collaborative Interference Mitigation with Fuzzy Detection Recovery for LPWANs. / Qin, Peiyuan; Mei, Luoyu; Jing, Qi et al.
Proceedings of the 2022 IEEE 25^th International Conference on Computer Supported Cooperative Work in Design (CSCWD). ed. / Weiming Shen; Jean-Paul Barthès; Junzhou Luo; Gang Chen; Jinghui Zhang; Haibin Zhu; Kunkun Peng. IEEE, 2022. p. 792-797 (IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD).

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

TY - GEN

T1 - Edge-Cloud Collaborative Interference Mitigation with Fuzzy Detection Recovery for LPWANs

AU - Qin, Peiyuan

AU - Mei, Luoyu

AU - Jing, Qi

AU - Wang, Shuai

AU - Yin, Zhimeng

AU - Zhou, Xiaolei

PY - 2022

Y1 - 2022

N2 - Recent researches have mitigated interference by utilizing cloud assistance or cloud-edge collaboration for Low-Power Wide-Area Networks. However, the issue of long interference recovery time prevents these methods from being well utilized in practical scenarios. In this paper, we propose a novel method, called FDR, for Edge-Cloud collaborative interference mitigation with Fuzzy Detection Recovery, which recovers errors in real-time. Our design (i) utilizes gateways and cloud servers and (ii) reduces data transmissions with fuzzy detection codes for real-time error recovery. In our design, each gateway detects and reports the fuzzy positions of errors to the cloud. Then the cloud restores packets with fuzzy detection results. FDR takes the advantage of both the computational ability of the cloud and the error detection benefit of each gateway. We design and implement FDR with commodity devices including LoRa SX1280 and the USRP-B210 platform. Experimental results show that FDR reduces recovery time by 78.53% compared with the state-of-art, and recovers interfered data packets accurately when the packet damage rate reaches 45.72%.

AB - Recent researches have mitigated interference by utilizing cloud assistance or cloud-edge collaboration for Low-Power Wide-Area Networks. However, the issue of long interference recovery time prevents these methods from being well utilized in practical scenarios. In this paper, we propose a novel method, called FDR, for Edge-Cloud collaborative interference mitigation with Fuzzy Detection Recovery, which recovers errors in real-time. Our design (i) utilizes gateways and cloud servers and (ii) reduces data transmissions with fuzzy detection codes for real-time error recovery. In our design, each gateway detects and reports the fuzzy positions of errors to the cloud. Then the cloud restores packets with fuzzy detection results. FDR takes the advantage of both the computational ability of the cloud and the error detection benefit of each gateway. We design and implement FDR with commodity devices including LoRa SX1280 and the USRP-B210 platform. Experimental results show that FDR reduces recovery time by 78.53% compared with the state-of-art, and recovers interfered data packets accurately when the packet damage rate reaches 45.72%.

KW - Fuzzy Detection

KW - Low-Power Wide-Area Networks (LP-WANs)

KW - Signal Real-Time Recovery

UR - https://www.scopus.com/pages/publications/85130810746

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85130810746&origin=recordpage

U2 - 10.1109/CSCWD54268.2022.9776037

DO - 10.1109/CSCWD54268.2022.9776037

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 978-1-6654-0763-2

T3 - IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD

SP - 792

EP - 797

BT - Proceedings of the 2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD)

A2 - Shen, Weiming

A2 - Barthès, Jean-Paul

A2 - Luo, Junzhou

A2 - Chen, Gang

A2 - Zhang, Jinghui

A2 - Zhu, Haibin

A2 - Peng, Kunkun

PB - IEEE

T2 - 2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD 2022)

Y2 - 4 May 2022 through 6 May 2022

ER -

Qin P, Mei L, Jing Q, Wang S, Yin Z, Zhou X. Edge-Cloud Collaborative Interference Mitigation with Fuzzy Detection Recovery for LPWANs. In Shen W, Barthès JP, Luo J, Chen G, Zhang J, Zhu H, Peng K, editors, Proceedings of the 2022 IEEE 25^th International Conference on Computer Supported Cooperative Work in Design (CSCWD). IEEE. 2022. p. 792-797. (IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD). Epub 2022 May 20. doi: 10.1109/CSCWD54268.2022.9776037

Edge-Cloud Collaborative Interference Mitigation with Fuzzy Detection Recovery for LPWANs

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Research Keywords

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