An urban expressway forwarding scheme for cognitive Internet of vehicles

The Internet of vehicles is an essential component for building smart cities that can improve traffic safety and provide multimedia entertainment services. The cognitive radio–enabled Internet of vehicles was proposed to resolve the conflict between the increasing demand of Internet of vehicles appl...

Full description

Saved in:
Bibliographic Details
Main Authors: Jing Wang, Huyin Zhang, Sheng Hao, Chuhao Fu
Format: Article
Language:English
Published: Wiley 2020-03-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1177/1550147720912947
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832556852892663808
author Jing Wang
Huyin Zhang
Sheng Hao
Chuhao Fu
author_facet Jing Wang
Huyin Zhang
Sheng Hao
Chuhao Fu
author_sort Jing Wang
collection DOAJ
description The Internet of vehicles is an essential component for building smart cities that can improve traffic safety and provide multimedia entertainment services. The cognitive radio–enabled Internet of vehicles was proposed to resolve the conflict between the increasing demand of Internet of vehicles applications and the limited spectrum resources. The multi-hop transmission is one of the most important issues in cognitive radio–enabled Internet of vehicles networks. Nevertheless, most existing forwarding solutions designed for the cognitive radio–enabled Internet of vehicles did not consider the urban expressway scenario, where primary base stations are densely installed with small coverage areas. In this case, it is difficult to ensure that the sender and the receiver of the same cognitive radio link have similar channel availability statistics, which makes cognitive radio links more likely to be interrupted. To address this challenge, we develop a multi-hop forwarding scheme to minimize the end-to-end delay for such networks. We first formulate the delay minimization problem as a non-linear integer optimization problem. Then, we propose an approach to select the relay candidates by jointly considering the high mobility of vehicles and the unique cognitive radio spectrum usage distributions in urban expressway scenarios. Finally, we propose the low-latency forwarding strategies by considering the channel availability and the delay cost of different situations of relay candidates. Simulations show the advantages of our proposed scheme, compared with state-of-art methods.
format Article
id doaj-art-d902515660e643f2b41e5dc528510a3c
institution Kabale University
issn 1550-1477
language English
publishDate 2020-03-01
publisher Wiley
record_format Article
series International Journal of Distributed Sensor Networks
spelling doaj-art-d902515660e643f2b41e5dc528510a3c2025-02-03T05:44:19ZengWileyInternational Journal of Distributed Sensor Networks1550-14772020-03-011610.1177/1550147720912947An urban expressway forwarding scheme for cognitive Internet of vehiclesJing Wang0Huyin Zhang1Sheng Hao2Chuhao Fu3Department of Computer Science, University of Calgary, Calgary, AB, CanadaSchool of Computer Science, Wuhan University, Wuhan, P.R. ChinaSchool of Computer Science, Wuhan University, Wuhan, P.R. ChinaSchool of Computer Science and Technology, Wuhan University of Technology, Wuhan, P.R. ChinaThe Internet of vehicles is an essential component for building smart cities that can improve traffic safety and provide multimedia entertainment services. The cognitive radio–enabled Internet of vehicles was proposed to resolve the conflict between the increasing demand of Internet of vehicles applications and the limited spectrum resources. The multi-hop transmission is one of the most important issues in cognitive radio–enabled Internet of vehicles networks. Nevertheless, most existing forwarding solutions designed for the cognitive radio–enabled Internet of vehicles did not consider the urban expressway scenario, where primary base stations are densely installed with small coverage areas. In this case, it is difficult to ensure that the sender and the receiver of the same cognitive radio link have similar channel availability statistics, which makes cognitive radio links more likely to be interrupted. To address this challenge, we develop a multi-hop forwarding scheme to minimize the end-to-end delay for such networks. We first formulate the delay minimization problem as a non-linear integer optimization problem. Then, we propose an approach to select the relay candidates by jointly considering the high mobility of vehicles and the unique cognitive radio spectrum usage distributions in urban expressway scenarios. Finally, we propose the low-latency forwarding strategies by considering the channel availability and the delay cost of different situations of relay candidates. Simulations show the advantages of our proposed scheme, compared with state-of-art methods.https://doi.org/10.1177/1550147720912947
spellingShingle Jing Wang
Huyin Zhang
Sheng Hao
Chuhao Fu
An urban expressway forwarding scheme for cognitive Internet of vehicles
International Journal of Distributed Sensor Networks
title An urban expressway forwarding scheme for cognitive Internet of vehicles
title_full An urban expressway forwarding scheme for cognitive Internet of vehicles
title_fullStr An urban expressway forwarding scheme for cognitive Internet of vehicles
title_full_unstemmed An urban expressway forwarding scheme for cognitive Internet of vehicles
title_short An urban expressway forwarding scheme for cognitive Internet of vehicles
title_sort urban expressway forwarding scheme for cognitive internet of vehicles
url https://doi.org/10.1177/1550147720912947
work_keys_str_mv AT jingwang anurbanexpresswayforwardingschemeforcognitiveinternetofvehicles
AT huyinzhang anurbanexpresswayforwardingschemeforcognitiveinternetofvehicles
AT shenghao anurbanexpresswayforwardingschemeforcognitiveinternetofvehicles
AT chuhaofu anurbanexpresswayforwardingschemeforcognitiveinternetofvehicles
AT jingwang urbanexpresswayforwardingschemeforcognitiveinternetofvehicles
AT huyinzhang urbanexpresswayforwardingschemeforcognitiveinternetofvehicles
AT shenghao urbanexpresswayforwardingschemeforcognitiveinternetofvehicles
AT chuhaofu urbanexpresswayforwardingschemeforcognitiveinternetofvehicles