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RSS-Based Localization and Mobility Evaluation Using a Single NB-IoT Cell
| Content Provider | MDPI |
|---|---|
| Author | Janssen, Thomas Berkvens, Rafael Weyn, Maarten |
| Copyright Year | 2020 |
| Description | Low Power Wide Area Networks (LPWAN) have the ability to localize a mobile transmitter using signals of opportunity, as a low power and low cost alternative to satellite-based solutions. In this paper, we evaluate the accuracy of three localization approaches based on the Received Signal Strength (RSS). More specifically, the performance of a proximity, range-based and optimized fingerprint-based algorithm is evaluated in a large-scale urban environment using a public Narrowband Internet of Things (NB-IoT) network. The results show a mean location estimation error of 340, 320 and 204 m, respectively. During the measurement campaign, we discovered a mobility issue in NB-IoT. In contrast to other LPWAN and cellular technologies which use multiple gateways or cells to locate a device, only a single cell antenna can be used for RSS-based localization in NB-IoT. Therefore, we address this limitation in the current NB-IoT hardware and software by studying the mobility of the cellular-based 3GPP standard in a localization context. Experimental results show that the lack of handover support leads to increased cell reselection time and poor cell sector reliability, which in turn results in reduced localization performance. |
| Starting Page | 6172 |
| e-ISSN | 14248220 |
| DOI | 10.3390/s20216172 |
| Journal | Sensors |
| Issue Number | 21 |
| Volume Number | 20 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2020-10-29 |
| Access Restriction | Open |
| Subject Keyword | Sensors Telecommunications Nb-iot Lpwan Localization Rss Mobility |
| Content Type | Text |
| Resource Type | Article |
