RSS-Based Method for Sensor Localization with Unknown Transmit Power and Uncertainty in Path Loss Exponent
The localization of a sensor in wireless sensor networks (WSNs) has now gained considerable attention. Since the transmit power and path loss exponent (PLE) are two critical parameters in the received signal strength (RSS) localization technique, many RSS-based location methods, considering the case...
| Main Authors: | , , , |
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| Format: | Article |
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MDPI AG
2016-09-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/16/9/1452 |
| _version_ | 1828117700862279680 |
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| author | Jiyan Huang Peng Liu Wei Lin Guan Gui |
| author_facet | Jiyan Huang Peng Liu Wei Lin Guan Gui |
| author_sort | Jiyan Huang |
| collection | DOAJ |
| description | The localization of a sensor in wireless sensor networks (WSNs) has now gained considerable attention. Since the transmit power and path loss exponent (PLE) are two critical parameters in the received signal strength (RSS) localization technique, many RSS-based location methods, considering the case that both the transmit power and PLE are unknown, have been proposed in the literature. However, these methods require a search process, and cannot give a closed-form solution to sensor localization. In this paper, a novel RSS localization method with a closed-form solution based on a two-step weighted least squares estimator is proposed for the case with the unknown transmit power and uncertainty in PLE. Furthermore, the complete performance analysis of the proposed method is given in the paper. Both the theoretical variance and Cramer-Rao lower bound (CRLB) are derived. The relationships between the deterministic CRLB and the proposed stochastic CRLB are presented. The paper also proves that the proposed method can reach the stochastic CRLB. |
| first_indexed | 2024-04-11T13:18:40Z |
| format | Article |
| id | doaj.art-ed1721f85e4d4b33ba639ee3ae733e89 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T13:18:40Z |
| publishDate | 2016-09-01 |
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| series | Sensors |
| spelling | doaj.art-ed1721f85e4d4b33ba639ee3ae733e892022-12-22T04:22:19ZengMDPI AGSensors1424-82202016-09-01169145210.3390/s16091452s16091452RSS-Based Method for Sensor Localization with Unknown Transmit Power and Uncertainty in Path Loss ExponentJiyan Huang0Peng Liu1Wei Lin2Guan Gui3School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 610054, ChinaSpace Star Technology Co., Ltd. and State Key Laboratory of Space-Ground Integrated Information Technology, Beijing 100191, ChinaSchool of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 610054, ChinaDepartment of Electronics and Information Systems, Akita Prefectural University, Akita 015-0055, JapanThe localization of a sensor in wireless sensor networks (WSNs) has now gained considerable attention. Since the transmit power and path loss exponent (PLE) are two critical parameters in the received signal strength (RSS) localization technique, many RSS-based location methods, considering the case that both the transmit power and PLE are unknown, have been proposed in the literature. However, these methods require a search process, and cannot give a closed-form solution to sensor localization. In this paper, a novel RSS localization method with a closed-form solution based on a two-step weighted least squares estimator is proposed for the case with the unknown transmit power and uncertainty in PLE. Furthermore, the complete performance analysis of the proposed method is given in the paper. Both the theoretical variance and Cramer-Rao lower bound (CRLB) are derived. The relationships between the deterministic CRLB and the proposed stochastic CRLB are presented. The paper also proves that the proposed method can reach the stochastic CRLB.http://www.mdpi.com/1424-8220/16/9/1452sensor localizationcramer-rao lower bound (CRLB)received signal strength (RSS)transmit powerpath loss exponent (PLE) |
| spellingShingle | Jiyan Huang Peng Liu Wei Lin Guan Gui RSS-Based Method for Sensor Localization with Unknown Transmit Power and Uncertainty in Path Loss Exponent Sensors sensor localization cramer-rao lower bound (CRLB) received signal strength (RSS) transmit power path loss exponent (PLE) |
| title | RSS-Based Method for Sensor Localization with Unknown Transmit Power and Uncertainty in Path Loss Exponent |
| title_full | RSS-Based Method for Sensor Localization with Unknown Transmit Power and Uncertainty in Path Loss Exponent |
| title_fullStr | RSS-Based Method for Sensor Localization with Unknown Transmit Power and Uncertainty in Path Loss Exponent |
| title_full_unstemmed | RSS-Based Method for Sensor Localization with Unknown Transmit Power and Uncertainty in Path Loss Exponent |
| title_short | RSS-Based Method for Sensor Localization with Unknown Transmit Power and Uncertainty in Path Loss Exponent |
| title_sort | rss based method for sensor localization with unknown transmit power and uncertainty in path loss exponent |
| topic | sensor localization cramer-rao lower bound (CRLB) received signal strength (RSS) transmit power path loss exponent (PLE) |
| url | http://www.mdpi.com/1424-8220/16/9/1452 |
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