ECCR : Edge-Cloud Collaborative Recovery for Low-Power Wide-Area Networks Interference Mitigation

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

3 Scopus Citations
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Author(s)

Related Research Unit(s)

Detail(s)

Original languageEnglish
Title of host publicationWireless Algorithms, Systems, and Applications
Subtitle of host publication16th International Conference, WASA 2021, Nanjing, China, June 25–27, 2021, Proceedings, Part I
EditorsZhe Liu, Fan Wu, Sajal K. Das
Place of PublicationCham
PublisherSpringer
Pages494-507
VolumePart I
ISBN (Electronic)9783030859282
ISBN (Print)9783030859275
Publication statusPublished - 2021

Publication series

NameLecture Notes in Computer Science
Volume12937
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Title16th International Conference on Wireless Algorithms, Systems, and Applications (WASA 2021)
LocationNanjing Dongjiao State Guesthouse
PlaceChina
CityNanjing
Period25 - 27 June 2021

Abstract

Recent advances in Low-Power Wide-Area Networks have mitigated interference by using cloud assistance. Those methods transmit the RSSI samples and corrupted packets to the cloud to restore the correct message. However, the effectiveness of those methods is challenged by the high transmission data amount. This paper presents a novel method for interference mitigation in a Edge-Cloud collaborative manner, namely ECCR. It does not require transmitting RSSI sample any more, whose length is eight times of the packet’s. We demonstrate the disjointness of the bit errors of packets at the base stations via real-word experiments. ECCR leverages this to collaborate with multiple base stations for error recovery. Each base station detects and reports bit error locations to the cloud, then both error checking code and interfered packets from other receivers are utilized to restore correct packets. ECCR takes the advantages of both the global management ability of the cloud and the signal to perceive the benefit of each base station, and it is applicable to deployed LP-WAN systems (e.g. sx1280) without any extra hardware requirement. Experimental results show that ECCR is able to accurately decode packets when packets have nearly 51.76 % corruption.

Research Area(s)

  • Edge-cloud collaborative, Interference mitigation, Low-Power Wide-Area Networks (LP-WANs)

Bibliographic Note

Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).

Citation Format(s)

ECCR: Edge-Cloud Collaborative Recovery for Low-Power Wide-Area Networks Interference Mitigation. / Mei, Luoyu; Yin, Zhimeng; Zhou, Xiaolei et al.
Wireless Algorithms, Systems, and Applications: 16th International Conference, WASA 2021, Nanjing, China, June 25–27, 2021, Proceedings, Part I. ed. / Zhe Liu; Fan Wu; Sajal K. Das. Vol. Part I Cham: Springer, 2021. p. 494-507 (Lecture Notes in Computer Science; Vol. 12937).

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