Edge-Cloud Collaborative Interference Mitigation with Fuzzy Detection Recovery for LPWANs
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2022 IEEE 25th 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 | Institute of Electrical and Electronics Engineers, Inc. |
| Pages | 792-797 |
| ISBN (electronic) | 9781665405270, 978-1-6654-0526-3 |
| ISBN (print) | 978-1-6654-0763-2 |
| Publication status | Published - 2022 |
Publication series
| Name | IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD |
|---|
Conference
| Title | 2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD 2022) |
|---|---|
| Location | Blossom Tao Hotel (Hangzhou International Expo Center) |
| Place | China |
| City | Hangzhou |
| Period | 4 - 6 May 2022 |
Link(s)
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%.
Research Area(s)
- Fuzzy Detection, Low-Power Wide-Area Networks (LP-WANs), Signal Real-Time Recovery
Citation Format(s)
Edge-Cloud Collaborative Interference Mitigation with Fuzzy Detection Recovery for LPWANs. / Qin, Peiyuan; Mei, Luoyu; Jing, Qi et al.
Proceedings of the 2022 IEEE 25th 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. Institute of Electrical and Electronics Engineers, Inc., 2022. p. 792-797 (IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD).
Proceedings of the 2022 IEEE 25th 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. Institute of Electrical and Electronics Engineers, Inc., 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
