MA-MCL: Mobile-Assisted Monte Carlo Localization for Wireless Sensor Networks
As many Wireless Sensor Networks (WSNs) applications require sensor position information, localization has been an important problem in WSNs. To reduce the number of seeds, a number of mobile-assisted approaches have been proposed. Current proposed mobile-assisted approaches for localization require...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Hindawi - SAGE Publishing
2011-06-01
|
| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2011/671814 |
| _version_ | 1797727378141609984 |
|---|---|
| author | Guodong Teng Kougen Zheng Wei Dong |
| author_facet | Guodong Teng Kougen Zheng Wei Dong |
| author_sort | Guodong Teng |
| collection | DOAJ |
| description | As many Wireless Sensor Networks (WSNs) applications require sensor position information, localization has been an important problem in WSNs. To reduce the number of seeds, a number of mobile-assisted approaches have been proposed. Current proposed mobile-assisted approaches for localization require special hardware or face route selection problem, however. In this paper, we propose a Mobile-Assisted Monte Carlo Localization (MA-MCL) for WSNs. Our approach relies on direct arriver and leaver information from a single mobile-assisted seed. It does not require any specially designed hardware due to the range-free technique, and the single mobile-assisted seed in our approach can move uncontrollably to avoid route selection problem based on Monte Carlo method. Evaluation results show that the accuracy of MA-MCL outperforms MSL*, MSL, and ADO when all of them use only a mobile seed for localization in the static sensor networks. |
| first_indexed | 2024-03-12T10:58:59Z |
| format | Article |
| id | doaj.art-d8e8ded7f4e346f4bc803888fb95a741 |
| institution | Directory Open Access Journal |
| issn | 1550-1477 |
| language | English |
| last_indexed | 2024-03-12T10:58:59Z |
| publishDate | 2011-06-01 |
| publisher | Hindawi - SAGE Publishing |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj.art-d8e8ded7f4e346f4bc803888fb95a7412023-09-02T06:04:52ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772011-06-01710.1155/2011/671814671814MA-MCL: Mobile-Assisted Monte Carlo Localization for Wireless Sensor NetworksGuodong Teng0Kougen Zheng1Wei Dong2 Institute of Service Engineering, Hangzhou Normal University, Hangzhou, Zhejiang Province, China College of Computer Science, Zhejiang University, Hangzhou, Zhejiang Province, China College of Computer Science, Zhejiang University, Hangzhou, Zhejiang Province, ChinaAs many Wireless Sensor Networks (WSNs) applications require sensor position information, localization has been an important problem in WSNs. To reduce the number of seeds, a number of mobile-assisted approaches have been proposed. Current proposed mobile-assisted approaches for localization require special hardware or face route selection problem, however. In this paper, we propose a Mobile-Assisted Monte Carlo Localization (MA-MCL) for WSNs. Our approach relies on direct arriver and leaver information from a single mobile-assisted seed. It does not require any specially designed hardware due to the range-free technique, and the single mobile-assisted seed in our approach can move uncontrollably to avoid route selection problem based on Monte Carlo method. Evaluation results show that the accuracy of MA-MCL outperforms MSL*, MSL, and ADO when all of them use only a mobile seed for localization in the static sensor networks.https://doi.org/10.1155/2011/671814 |
| spellingShingle | Guodong Teng Kougen Zheng Wei Dong MA-MCL: Mobile-Assisted Monte Carlo Localization for Wireless Sensor Networks International Journal of Distributed Sensor Networks |
| title | MA-MCL: Mobile-Assisted Monte Carlo Localization for Wireless Sensor Networks |
| title_full | MA-MCL: Mobile-Assisted Monte Carlo Localization for Wireless Sensor Networks |
| title_fullStr | MA-MCL: Mobile-Assisted Monte Carlo Localization for Wireless Sensor Networks |
| title_full_unstemmed | MA-MCL: Mobile-Assisted Monte Carlo Localization for Wireless Sensor Networks |
| title_short | MA-MCL: Mobile-Assisted Monte Carlo Localization for Wireless Sensor Networks |
| title_sort | ma mcl mobile assisted monte carlo localization for wireless sensor networks |
| url | https://doi.org/10.1155/2011/671814 |
| work_keys_str_mv | AT guodongteng mamclmobileassistedmontecarlolocalizationforwirelesssensornetworks AT kougenzheng mamclmobileassistedmontecarlolocalizationforwirelesssensornetworks AT weidong mamclmobileassistedmontecarlolocalizationforwirelesssensornetworks |