Efficient Route Planning Using Temporal Reliance of Link Quality for Highway IoV Traffic Environment
Intermittently connected vehicular networks, terrain of the highway, and high mobility of the vehicles are the main critical constraints of highway IoV (Internet of Vehicles) traffic environment. These cause GPS outage problem and the existence of short-lived wireless mobile links that reduce the pe...
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| Format: | Article |
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MDPI AG
2022-12-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/12/1/130 |
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| author | Ritesh Yaduwanshi Sushil Kumar Arvind Kumar Omprakash Kaiwartya Deepti Mohammad Aljaidi Jaime Lloret |
| author_facet | Ritesh Yaduwanshi Sushil Kumar Arvind Kumar Omprakash Kaiwartya Deepti Mohammad Aljaidi Jaime Lloret |
| author_sort | Ritesh Yaduwanshi |
| collection | DOAJ |
| description | Intermittently connected vehicular networks, terrain of the highway, and high mobility of the vehicles are the main critical constraints of highway IoV (Internet of Vehicles) traffic environment. These cause GPS outage problem and the existence of short-lived wireless mobile links that reduce the performance of designed routing approaches. Nevertheless, geographic routing has attracted a lot of attention from researchers as a potential means of accurate and efficient information delivery. Various distance-based routing protocols have been proposed in the literature, with an emphasis on restricting the forwarding area to the next forwarding vehicle. Many of these protocols have issues with significant one-hop link disconnection, long end-to-end delays, and low throughput even at normal vehicle speeds in high-vehicular-density environments due to frequently interrupted wireless links. In this paper, an efficient geocast routing (EGR) approach for highway IoV–traffic environment considering the shadowing fading condition is proposed. In EGR, a geometrical localization for GPS outage problem and a temporal link quality estimation model considering underlying vehicular movement have been proposed. Geocast routing to select a next forwarding vehicle from forward region by utilizing temporal link quality is proposed for four different scenarios. To evaluate the effectiveness and scalability of EGR, a comparative performance evaluation based on simulations has been performed. It is clear from the analysis of the results that EGR performs better than state-of-the-art approaches in highway traffic environment in terms of handling the problem of wireless communication link breakage and throughput, as well as ensuring the faster delivery of the messages. |
| first_indexed | 2024-03-11T10:04:00Z |
| format | Article |
| id | doaj.art-830132d4ed994442b6af8e41baccd64c |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-11T10:04:00Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-830132d4ed994442b6af8e41baccd64c2023-11-16T15:11:32ZengMDPI AGElectronics2079-92922022-12-0112113010.3390/electronics12010130Efficient Route Planning Using Temporal Reliance of Link Quality for Highway IoV Traffic EnvironmentRitesh Yaduwanshi0Sushil Kumar1Arvind Kumar2Omprakash Kaiwartya3Deepti4Mohammad Aljaidi5Jaime Lloret6School of Computer & Systems Sciences, Jawaharlal Nehru University, New Delhi 110067, IndiaSchool of Computer & Systems Sciences, Jawaharlal Nehru University, New Delhi 110067, IndiaSchool of Computing Science & Engineering, Galgotias University, Greater Noida 203201, IndiaDepartment of Computer Science, Nottingham Trent University, Clifton Lane, Nottingham NG11 8NS, UKSchool of Computing Science & Engineering, Galgotias University, Greater Noida 203201, IndiaDepartment of Computer Science, Faculty of Information Technology, Zarqa University, Zarqa 13110, JordanDepartment of Communications, Universitat Politecnica de Valencia, Camino Vera s/n, 46022 Valencia, SpainIntermittently connected vehicular networks, terrain of the highway, and high mobility of the vehicles are the main critical constraints of highway IoV (Internet of Vehicles) traffic environment. These cause GPS outage problem and the existence of short-lived wireless mobile links that reduce the performance of designed routing approaches. Nevertheless, geographic routing has attracted a lot of attention from researchers as a potential means of accurate and efficient information delivery. Various distance-based routing protocols have been proposed in the literature, with an emphasis on restricting the forwarding area to the next forwarding vehicle. Many of these protocols have issues with significant one-hop link disconnection, long end-to-end delays, and low throughput even at normal vehicle speeds in high-vehicular-density environments due to frequently interrupted wireless links. In this paper, an efficient geocast routing (EGR) approach for highway IoV–traffic environment considering the shadowing fading condition is proposed. In EGR, a geometrical localization for GPS outage problem and a temporal link quality estimation model considering underlying vehicular movement have been proposed. Geocast routing to select a next forwarding vehicle from forward region by utilizing temporal link quality is proposed for four different scenarios. To evaluate the effectiveness and scalability of EGR, a comparative performance evaluation based on simulations has been performed. It is clear from the analysis of the results that EGR performs better than state-of-the-art approaches in highway traffic environment in terms of handling the problem of wireless communication link breakage and throughput, as well as ensuring the faster delivery of the messages.https://www.mdpi.com/2079-9292/12/1/130link qualitylink lifetimeconnected vehicleroutinghighway traffic |
| spellingShingle | Ritesh Yaduwanshi Sushil Kumar Arvind Kumar Omprakash Kaiwartya Deepti Mohammad Aljaidi Jaime Lloret Efficient Route Planning Using Temporal Reliance of Link Quality for Highway IoV Traffic Environment Electronics link quality link lifetime connected vehicle routing highway traffic |
| title | Efficient Route Planning Using Temporal Reliance of Link Quality for Highway IoV Traffic Environment |
| title_full | Efficient Route Planning Using Temporal Reliance of Link Quality for Highway IoV Traffic Environment |
| title_fullStr | Efficient Route Planning Using Temporal Reliance of Link Quality for Highway IoV Traffic Environment |
| title_full_unstemmed | Efficient Route Planning Using Temporal Reliance of Link Quality for Highway IoV Traffic Environment |
| title_short | Efficient Route Planning Using Temporal Reliance of Link Quality for Highway IoV Traffic Environment |
| title_sort | efficient route planning using temporal reliance of link quality for highway iov traffic environment |
| topic | link quality link lifetime connected vehicle routing highway traffic |
| url | https://www.mdpi.com/2079-9292/12/1/130 |
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