A Distance-Based Maximum Likelihood Estimation Method for Sensor Localization in Wireless Sensor Networks
Node localization is an important supporting technology in wireless sensor networks (WSNs). Traditional maximum likelihood estimation based localization methods (MLE) assume that measurement errors are independent of the distance between the anchor node and a target node. However, such an assumption...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi - SAGE Publishing
2016-04-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2016/2080536 |
| _version_ | 1797710699594514432 |
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| author | Jing Xu Jingsha He Yuqiang Zhang Fei Xu Fangbo Cai |
| author_facet | Jing Xu Jingsha He Yuqiang Zhang Fei Xu Fangbo Cai |
| author_sort | Jing Xu |
| collection | DOAJ |
| description | Node localization is an important supporting technology in wireless sensor networks (WSNs). Traditional maximum likelihood estimation based localization methods (MLE) assume that measurement errors are independent of the distance between the anchor node and a target node. However, such an assumption may not reflect the physical characteristics of existing measurement techniques, such as the widely used received signal strength indicator. To address this issue, we propose a distance-based MLE that considers measurement errors that depend on distance values in this paper. The proposed distance-based MLE is formulated as a complicated nonlinear optimization problem. An exact solution is developed based on first-order optimal condition to improve the efficiency of search. In addition, a two-dimensional search method is also presented. Simulation experiments are performed to demonstrate the effectiveness of this localization. The simulation results show that the distance-based localization method has better localization accuracy compared to other range-based localization methods. |
| first_indexed | 2024-03-12T06:56:01Z |
| format | Article |
| id | doaj.art-5e0b5b1a47474c7ca9b062a2e252f302 |
| institution | Directory Open Access Journal |
| issn | 1550-1477 |
| language | English |
| last_indexed | 2024-03-12T06:56:01Z |
| publishDate | 2016-04-01 |
| publisher | Hindawi - SAGE Publishing |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj.art-5e0b5b1a47474c7ca9b062a2e252f3022023-09-03T00:04:19ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772016-04-011210.1155/2016/2080536A Distance-Based Maximum Likelihood Estimation Method for Sensor Localization in Wireless Sensor NetworksJing Xu0Jingsha He1Yuqiang Zhang2Fei Xu3Fangbo Cai4 Beijing Engineering Research Center for IoT Software and Systems, Beijing University of Technology, Beijing 100124, China School of Software Engineering, Beijing University of Technology, Beijing 100124, China Beijing Engineering Research Center for IoT Software and Systems, Beijing University of Technology, Beijing 100124, China Law School, Renmin University of China, Beijing 100872, China School of Software Engineering, Beijing University of Technology, Beijing 100124, ChinaNode localization is an important supporting technology in wireless sensor networks (WSNs). Traditional maximum likelihood estimation based localization methods (MLE) assume that measurement errors are independent of the distance between the anchor node and a target node. However, such an assumption may not reflect the physical characteristics of existing measurement techniques, such as the widely used received signal strength indicator. To address this issue, we propose a distance-based MLE that considers measurement errors that depend on distance values in this paper. The proposed distance-based MLE is formulated as a complicated nonlinear optimization problem. An exact solution is developed based on first-order optimal condition to improve the efficiency of search. In addition, a two-dimensional search method is also presented. Simulation experiments are performed to demonstrate the effectiveness of this localization. The simulation results show that the distance-based localization method has better localization accuracy compared to other range-based localization methods.https://doi.org/10.1155/2016/2080536 |
| spellingShingle | Jing Xu Jingsha He Yuqiang Zhang Fei Xu Fangbo Cai A Distance-Based Maximum Likelihood Estimation Method for Sensor Localization in Wireless Sensor Networks International Journal of Distributed Sensor Networks |
| title | A Distance-Based Maximum Likelihood Estimation Method for Sensor Localization in Wireless Sensor Networks |
| title_full | A Distance-Based Maximum Likelihood Estimation Method for Sensor Localization in Wireless Sensor Networks |
| title_fullStr | A Distance-Based Maximum Likelihood Estimation Method for Sensor Localization in Wireless Sensor Networks |
| title_full_unstemmed | A Distance-Based Maximum Likelihood Estimation Method for Sensor Localization in Wireless Sensor Networks |
| title_short | A Distance-Based Maximum Likelihood Estimation Method for Sensor Localization in Wireless Sensor Networks |
| title_sort | distance based maximum likelihood estimation method for sensor localization in wireless sensor networks |
| url | https://doi.org/10.1155/2016/2080536 |
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