Tools
Tools
Kasana, R., Kumar, S., Kaiwartya, O. 
ORCID: 0000-0001-9669-8244, Yan, W., Cao, Y. and Abdullah, A.H.,
2017.
Location error resilient geographical routing for vehicular ad‐hoc networks.
IET Intelligent Transport Systems, 11 (8), pp. 450-458.
ISSN 1751-956X
|
Text
1633025_Kaiwartya.pdf - Post-print Download (893kB) | Preview |
Abstract
The efficiency and scalability of geographical routing depend on the accuracy of location information of vehicles. Each vehicle determines its location using global positioning system (GPS) or other positioning systems. Related literature in geographical routing implicitly assumes accurate location information. However, this assumption is unrealistic considering the accuracy limitation of GPS and obstruction of signals by road side environments. The inaccurate location information results in performance degradation of geographical routing protocols in vehicular environments. In this context, this study proposes a location error resilient geographical routing (LER-GR) protocol. Rayleigh distribution-based error calculation technique is utilised for assessing error in the location of neighbouring vehicles. Kalman filter-based location prediction and correction technique is developed to predict the location of the neighbouring vehicles. The next forwarding vehicle is selected based on the least error in location information. Simulations are carried out to evaluate the performance of LER-GR in realistic environments, considering junction-based as well as real map-based road networks. The comparative performance evaluation attests the location error resilient capability of LER-GR in a vehicular environment.
| Item Type: | Journal article | ||||||
|---|---|---|---|---|---|---|---|
| Publication Title: | IET Intelligent Transport Systems | ||||||
| Creators: | Kasana, R., Kumar, S., Kaiwartya, O., Yan, W., Cao, Y. and Abdullah, A.H. | ||||||
| Publisher: | Institution of Engineering and Technology (IET) | ||||||
| Date: | October 2017 | ||||||
| Volume: | 11 | ||||||
| Number: | 8 | ||||||
| ISSN: | 1751-956X | ||||||
| Identifiers: |
|
||||||
| Divisions: | Schools > School of Science and Technology | ||||||
| Record created by: | Jeremy Silvester | ||||||
| Date Added: | 11 Jan 2023 10:24 | ||||||
| Last Modified: | 11 Jan 2023 10:24 | ||||||
| URI: | https://irep.ntu.ac.uk/id/eprint/47803 |
Actions (login required)
 |
Edit View |
Views
Views per month over past year
Downloads
Downloads per month over past year
