New RSSI-Based LoRa Localization Algorithms for Very Noisy Outdoor Environment

Ka Ho Lam, Chi Chung Cheung, Wah Ching Lee

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

19 Citations (Scopus)

Abstract

It have been proved that LoRa networks are suitable to do the localization for outdoor environment [1] [2]. Through the performance investigation in simulation models and real experiments, it showed that the performance of RSSI-based LoRa localization algorithms in [1] is compatible to The Global Positioning System (GPS), the most popular outdoor localization system. However, in very noisy outdoor environment, the performance of the algorithms degrades significantly because the effect of noisy nodes (anchor nodes that are highly affected by noise) cannot be totally avoided in localization. Based on this observation, we propose two new RSSI-based LoRa localization algorithms to further improve the accuracy of the localization for very noisy outdoor environment. One new algorithm iteratively removes all noisy nodes and use the remaining anchor nodes to process the localization; while the other new algorithm uses density clustering to get the best estimation. Our performance investigation shows that the proposed algorithms outperform the algorithms in [1] significantly in terms of the localization error if the outdoor environment is very noisy.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE 42nd Annual Computer Software and Applications Conference, COMPSAC 2018
EditorsClaudio Demartini, Sorel Reisman, Ling Liu, Edmundo Tovar, Hiroki Takakura, Ji-Jiang Yang, Chung-Horng Lung, Sheikh Iqbal Ahamed, Kamrul Hasan, Thomas Conte, Motonori Nakamura, Zhiyong Zhang, Toyokazu Akiyama, William Claycomb, Stelvio Cimato
PublisherIEEE Computer Society
Pages794-799
Number of pages6
ISBN (Electronic)9781538626665
DOIs
Publication statusPublished - 23 Jul 2018
Event42nd IEEE Computer Software and Applications Conference, COMPSAC 2018 - Tokyo, Japan
Duration: 23 Jul 201827 Jul 2018

Publication series

NameProceedings - International Computer Software and Applications Conference
Volume2
ISSN (Print)0730-3157

Conference

Conference42nd IEEE Computer Software and Applications Conference, COMPSAC 2018
Country/TerritoryJapan
CityTokyo
Period23/07/1827/07/18

Keywords

  • Localization system
  • LoRa technology
  • Smart environment
  • Urban networking

ASJC Scopus subject areas

  • Software
  • Computer Science Applications

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