Accurate 3D Localization Method for Public Safety Applications in Vehicular Ad-Hoc Networks
Vehicular ad hoc networks (VANETs) represent a very promising research area because of their ever increasing demand, especially for public safety applications. In VANETs, vehicles communicate with each other to exchange road maps and traffic information. In many applications, location-based services...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2018-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8334533/ |
| _version_ | 1818877220759797760 |
|---|---|
| author | Abdul Rahim Ansari Nasir Saeed Mian Imtiaz Ul Haq Sunghyun Cho |
| author_facet | Abdul Rahim Ansari Nasir Saeed Mian Imtiaz Ul Haq Sunghyun Cho |
| author_sort | Abdul Rahim Ansari |
| collection | DOAJ |
| description | Vehicular ad hoc networks (VANETs) represent a very promising research area because of their ever increasing demand, especially for public safety applications. In VANETs, vehicles communicate with each other to exchange road maps and traffic information. In many applications, location-based services are the main service, and localization accuracy is the main problem. The VANETs also require accurate vehicle location information in real time. To fulfill this requirement, a number of algorithms have been proposed; however, the location accuracy required for public safety applications in the VANETs has not been achieved. In this paper, an improved subspace algorithm is proposed for time of arrival measurements in VANETs localization. The proposed method gives a closed-form solution, and it is robust for large measurement noise, as it is based on the eigen form of a scalar product and dimensionality. Furthermore, we developed the Cramér-Rao Lower Bound (CRLB) to evaluate the performance of the proposed 3-D VANETs localization method. The performance of the proposed method was evaluated by comparison with the CRLB and other localization algorithms available in the literature through numerous simulations. Simulation results show that the proposed 3-D VANETs localization method is better than the literature methods, especially for fewer anchors at road side units and large noise variance. |
| first_indexed | 2024-12-19T13:54:50Z |
| format | Article |
| id | doaj.art-925ed5fb535c4ee4ba2a7488947f1d0a |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-19T13:54:50Z |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-925ed5fb535c4ee4ba2a7488947f1d0a2022-12-21T20:18:38ZengIEEEIEEE Access2169-35362018-01-016207562076310.1109/ACCESS.2018.28253718334533Accurate 3D Localization Method for Public Safety Applications in Vehicular Ad-Hoc NetworksAbdul Rahim Ansari0https://orcid.org/0000-0001-5151-2565Nasir Saeed1https://orcid.org/0000-0002-5123-5139Mian Imtiaz Ul Haq2Sunghyun Cho3https://orcid.org/0000-0002-1847-6088Department of Computer Science and Engineering, Hanyang University, Seoul, South KoreaDepartment of Electrical Engineering, King Abdullah University of Science and Technology, Thuwal, Saudi ArabiaFaculty of Electrical Engineering, University of Engineering and Technology at Peshawar, Peshawar, PakistanDepartment of Computer Science and Engineering, Hanyang University, Seoul, South KoreaVehicular ad hoc networks (VANETs) represent a very promising research area because of their ever increasing demand, especially for public safety applications. In VANETs, vehicles communicate with each other to exchange road maps and traffic information. In many applications, location-based services are the main service, and localization accuracy is the main problem. The VANETs also require accurate vehicle location information in real time. To fulfill this requirement, a number of algorithms have been proposed; however, the location accuracy required for public safety applications in the VANETs has not been achieved. In this paper, an improved subspace algorithm is proposed for time of arrival measurements in VANETs localization. The proposed method gives a closed-form solution, and it is robust for large measurement noise, as it is based on the eigen form of a scalar product and dimensionality. Furthermore, we developed the Cramér-Rao Lower Bound (CRLB) to evaluate the performance of the proposed 3-D VANETs localization method. The performance of the proposed method was evaluated by comparison with the CRLB and other localization algorithms available in the literature through numerous simulations. Simulation results show that the proposed 3-D VANETs localization method is better than the literature methods, especially for fewer anchors at road side units and large noise variance.https://ieeexplore.ieee.org/document/8334533/Vehicular ad hoc networks (VANETs)localizationtime of arrival (TOA)Cramer-Rao lower bound (CRLB) |
| spellingShingle | Abdul Rahim Ansari Nasir Saeed Mian Imtiaz Ul Haq Sunghyun Cho Accurate 3D Localization Method for Public Safety Applications in Vehicular Ad-Hoc Networks IEEE Access Vehicular ad hoc networks (VANETs) localization time of arrival (TOA) Cramer-Rao lower bound (CRLB) |
| title | Accurate 3D Localization Method for Public Safety Applications in Vehicular Ad-Hoc Networks |
| title_full | Accurate 3D Localization Method for Public Safety Applications in Vehicular Ad-Hoc Networks |
| title_fullStr | Accurate 3D Localization Method for Public Safety Applications in Vehicular Ad-Hoc Networks |
| title_full_unstemmed | Accurate 3D Localization Method for Public Safety Applications in Vehicular Ad-Hoc Networks |
| title_short | Accurate 3D Localization Method for Public Safety Applications in Vehicular Ad-Hoc Networks |
| title_sort | accurate 3d localization method for public safety applications in vehicular ad hoc networks |
| topic | Vehicular ad hoc networks (VANETs) localization time of arrival (TOA) Cramer-Rao lower bound (CRLB) |
| url | https://ieeexplore.ieee.org/document/8334533/ |
| work_keys_str_mv | AT abdulrahimansari accurate3dlocalizationmethodforpublicsafetyapplicationsinvehicularadhocnetworks AT nasirsaeed accurate3dlocalizationmethodforpublicsafetyapplicationsinvehicularadhocnetworks AT mianimtiazulhaq accurate3dlocalizationmethodforpublicsafetyapplicationsinvehicularadhocnetworks AT sunghyuncho accurate3dlocalizationmethodforpublicsafetyapplicationsinvehicularadhocnetworks |