Efficient Localization Method Based on RSSI for AP Clusters
The localization accuracy is susceptible to the received signal strength indication (RSSI) fluctuations for RSSI-based wireless localization methods. Moreover, the maximum likelihood estimation (MLE) of the target location is nonconvex, and locating target presents a significant computational comple...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-09-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/23/17/7599 |
| _version_ | 1827727738221363200 |
|---|---|
| author | Zhigang Su Zeyu Tian Jingtang Hao |
| author_facet | Zhigang Su Zeyu Tian Jingtang Hao |
| author_sort | Zhigang Su |
| collection | DOAJ |
| description | The localization accuracy is susceptible to the received signal strength indication (RSSI) fluctuations for RSSI-based wireless localization methods. Moreover, the maximum likelihood estimation (MLE) of the target location is nonconvex, and locating target presents a significant computational complexity. In this paper, an RSSI-based access point cluster localization (APCL) method is proposed for locating a moving target. Multiple location-constrained access points (APs) are used in the APCL method to form an AP cluster as an anchor node (AN) in the wireless sensor network (WSN), and the RSSI of the target is estimated with several RSSI samples obtained by the AN. With the estimated RSSI for each AN, the solution for the target location can be obtained quickly and accurately due to the fact that the MLE localization problem is transformed into an eigenvalue problem by constructing an eigenvalue equation. Simulation and experimental results show that the APCL method can meet the requirement of high-precision real-time localization of moving targets in WSN with higher localization accuracy and lower computational effort compared to the existing classical RSSI-based localization methods. |
| first_indexed | 2024-03-10T23:12:16Z |
| format | Article |
| id | doaj.art-52f919f6f4434534890c23b318305407 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T23:12:16Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-52f919f6f4434534890c23b3183054072023-11-19T08:52:03ZengMDPI AGSensors1424-82202023-09-012317759910.3390/s23177599Efficient Localization Method Based on RSSI for AP ClustersZhigang Su0Zeyu Tian1Jingtang Hao2Sino-European Institute of Aviation Engineering, Civil Aviation University of China, Tianjin 300300, ChinaSino-European Institute of Aviation Engineering, Civil Aviation University of China, Tianjin 300300, ChinaSino-European Institute of Aviation Engineering, Civil Aviation University of China, Tianjin 300300, ChinaThe localization accuracy is susceptible to the received signal strength indication (RSSI) fluctuations for RSSI-based wireless localization methods. Moreover, the maximum likelihood estimation (MLE) of the target location is nonconvex, and locating target presents a significant computational complexity. In this paper, an RSSI-based access point cluster localization (APCL) method is proposed for locating a moving target. Multiple location-constrained access points (APs) are used in the APCL method to form an AP cluster as an anchor node (AN) in the wireless sensor network (WSN), and the RSSI of the target is estimated with several RSSI samples obtained by the AN. With the estimated RSSI for each AN, the solution for the target location can be obtained quickly and accurately due to the fact that the MLE localization problem is transformed into an eigenvalue problem by constructing an eigenvalue equation. Simulation and experimental results show that the APCL method can meet the requirement of high-precision real-time localization of moving targets in WSN with higher localization accuracy and lower computational effort compared to the existing classical RSSI-based localization methods.https://www.mdpi.com/1424-8220/23/17/7599indoor localizationreceived signal strength indicationmaximum likelihood estimationaccess point clusterseigenvalue methodreal-time localization |
| spellingShingle | Zhigang Su Zeyu Tian Jingtang Hao Efficient Localization Method Based on RSSI for AP Clusters Sensors indoor localization received signal strength indication maximum likelihood estimation access point clusters eigenvalue method real-time localization |
| title | Efficient Localization Method Based on RSSI for AP Clusters |
| title_full | Efficient Localization Method Based on RSSI for AP Clusters |
| title_fullStr | Efficient Localization Method Based on RSSI for AP Clusters |
| title_full_unstemmed | Efficient Localization Method Based on RSSI for AP Clusters |
| title_short | Efficient Localization Method Based on RSSI for AP Clusters |
| title_sort | efficient localization method based on rssi for ap clusters |
| topic | indoor localization received signal strength indication maximum likelihood estimation access point clusters eigenvalue method real-time localization |
| url | https://www.mdpi.com/1424-8220/23/17/7599 |
| work_keys_str_mv | AT zhigangsu efficientlocalizationmethodbasedonrssiforapclusters AT zeyutian efficientlocalizationmethodbasedonrssiforapclusters AT jingtanghao efficientlocalizationmethodbasedonrssiforapclusters |