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RSSI-Based Localization Schemes for Wireless Sensor Networks Using Outlier Detection
| Content Provider | MDPI |
|---|---|
| Author | Chuku, Ndubueze Nasipuri, Asis |
| Copyright Year | 2021 |
| Description | The received signal strength indicator (RSSI) of RF signals is a cost-effective solution for distance estimation, which makes it a practical choice for localization schemes in wireless sensor networks (WSN). However, RF propagation channels in most WSN deployment environments, including dense cities and natural habitats, are commonly affected by shadowing due to obstructions caused by natural and man-made obstacles. RF signal attenuation from shadowing introduces uncharacteristically high errors in RSSI-based distance estimates, which result in large errors in RSSI-based localization schemes. This paper proposes the use of outlier detection methods for removing the effect of such disproportionately erroneous distance estimates in location estimation using RSSI. Three different localization schemes are proposed that apply outlier detection to effectively reduce localization errors in shadowed environments. Performance results of the proposed schemes are obtained using computer simulations and experimental tests. |
| Starting Page | 10 |
| e-ISSN | 22242708 |
| DOI | 10.3390/jsan10010010 |
| Journal | Journal of Sensor and Actuator Networks |
| Issue Number | 1 |
| Volume Number | 10 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-01-30 |
| Access Restriction | Open |
| Subject Keyword | Journal of Sensor and Actuator Networks Telecommunications Wireless Sensor Networks Localization Shadowing Clustering Mechanism Outliers Rssi Multilateration |
| Content Type | Text |
| Resource Type | Article |
