Abstract
A composed localization error estimation method is presented for the application in wireless sensor networks (WSNs) which employs maximum likelihood (ML) to locate. Two statistic indexes are given in this method to characterize the whole localization performance of WSN in error aspect. The number of WSN nodes can be determined before deploying to achieve the necessary localization accuracy. Through mathematic analysis, the expressions of mathematical expectation and standard deviation of a WSN are acquired. Besides, based on the expressions, the two indexes are calculated through Monte Carlo simulation. An application applying this method demonstrates the procedure of determining the optimum numbers of unknown nodes (who doesn't know their Positions) and anchor nodes (who know their Positions).
Original language | English |
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Title of host publication | Proceedings of the 2007 IEEE International Conference on Mechatronics and Automation, ICMA 2007 |
Pages | 348-353 |
Number of pages | 6 |
DOIs | |
Publication status | Published - 18 Dec 2007 |
Externally published | Yes |
Event | 2007 IEEE International Conference on Mechatronics and Automation, ICMA 2007 - Harbin, China Duration: 5 Aug 2007 → 8 Aug 2007 |
Conference
Conference | 2007 IEEE International Conference on Mechatronics and Automation, ICMA 2007 |
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Country/Territory | China |
City | Harbin |
Period | 5/08/07 → 8/08/07 |
Keywords
- Composed error
- Localization error
- Maximum likelihood
- Nonlinear least square
- Ranging error
- Wireless sensor network
ASJC Scopus subject areas
- Artificial Intelligence
- Software
- Control and Systems Engineering
- Mechanical Engineering