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http://hdl.handle.net/10397/107157
Title: | RSSI-based LoRa localization systems for large-scale indoor and outdoor environments | Authors: | Lam, KH Cheung, CC Lee, WC |
Issue Date: | Dec-2019 | Source: | IEEE transactions on vehicular technology, Dec. 2019, v. 68, no. 12, p. 11778-11791 | Abstract: | Localization is an important research topic that has been applied in many different applications. Different wireless technologies have been applied in localization but each has its own limitations. LoRa wireless technology has recently been proposed to support M2M (Machine-to-Machine) and IoT (Internet of Things) applications. Its key features (long range, low power and low cost) show that LoRa technology can be an appropriate alternative for localization in both large-scale indoor and outdoor environments. To the best of our knowledge, we are among the first (1) working on localization using LoRa technology, (2) to develop RSSI-based (Receiver Signal Strength Indicator based) localization algorithms in LoRa networks, and (3) to reduce the effect of Gaussian and non-Gaussian noise during localization in LoRa networks. This paper proposes different RSSI-based localization algorithms to reduce the effect of Gaussian and non-Gaussian noise in LoRa networks. The performance investigation in our simulation models and real experiments show that the proposed localization algorithms work properly in both outdoor and large-scale indoor environments. In outdoor environments, their performance is comparable to GPS (Global Positioning System), the most popular satellite-based localization system. | Keywords: | Localization LoRa RSSI |
Publisher: | Institute of Electrical and Electronics Engineers | Journal: | IEEE transactions on vehicular technology | ISSN: | 0018-9545 | EISSN: | 1939-9359 | DOI: | 10.1109/TVT.2019.2940272 | Rights: | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The following publication K. -H. Lam, C. -C. Cheung and W. -C. Lee, "RSSI-Based LoRa Localization Systems for Large-Scale Indoor and Outdoor Environments," in IEEE Transactions on Vehicular Technology, vol. 68, no. 12, pp. 11778-11791, Dec. 2019 is available at https://doi.org/10.1109/TVT.2019.2940272. |
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Lam_RSSI-Based_LoRa_Localization.pdf | Pre-Published version | 13.03 MB | Adobe PDF | View/Open |
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