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Traffic differentiated clustering routing in DSRC and C-V2X hybrid vehicular networks

Landfeldt, Björn LU ; Qi, Weijing LU ; Guo, Lei ; Song, Qingyang and Jamalipour, Abbas (2020) In IEEE Transactions on Vehicular Technology 69(7). p.7723-7734
Abstract
Vehicles equipped with sensors can participate in
mobile crowdsourcing applications. Vehicular Ad Hoc Networks
(VANETs) based on Dedicated Short Range Communication
(DSRC) are used to carry sensing data. However, multi-hop
transmissions for gathering data to Road Side Units (RSUs) in
VANETs suffer from low data rate and long end-to-end delay,
which can hardly meet the QoS requirements of delay-sensitive
services. This triggers the consideration of constituting a DSRC
and Cellular-Vehicle-to-Everything (C-V2X) hybrid vehicular
network. Nevertheless, using cellular links to carry traffic can
cause high cellular bandwidth costs. In this paper, we propose
a Traffic Differentiated Clustering Routing... (More)
Vehicles equipped with sensors can participate in
mobile crowdsourcing applications. Vehicular Ad Hoc Networks
(VANETs) based on Dedicated Short Range Communication
(DSRC) are used to carry sensing data. However, multi-hop
transmissions for gathering data to Road Side Units (RSUs) in
VANETs suffer from low data rate and long end-to-end delay,
which can hardly meet the QoS requirements of delay-sensitive
services. This triggers the consideration of constituting a DSRC
and Cellular-Vehicle-to-Everything (C-V2X) hybrid vehicular
network. Nevertheless, using cellular links to carry traffic can
cause high cellular bandwidth costs. In this paper, we propose
a Traffic Differentiated Clustering Routing (TDCR) mechanism
in a Software Defined Network (SDN)-enabled hybrid vehicular
network. The proposed mechanism includes a centralized one-hop
clustering approach and a data delivery optimization method.
Particularly, the optimization is to make a tradeoff between
cellular bandwidth cost and end-to-end delay, for Cluster Heads
(CHs) delivering their aggregated data either by multi-hop
Vehicle-to-Vehicle (V2V) transmissions or by cellular networks.
Since the problem is proven to be NP-hard, a two-stage heuristic
algorithm is designed. We carry out simulations to evaluate the
performance of our data collection scheme and the results show
that it performs better than traditional mechanisms (Less)
Abstract (Swedish)
Vehicles equipped with sensors can participate in mobile crowdsourcing applications. Vehicular Ad Hoc Networks (VANETs) based on Dedicated Short Range Communication (DSRC) are used to carry sensing data. However, multi-hop transmissions for gathering data to Road Side Units (RSUs) in VANETs suffer from low data rate and long end-to-end delay, which can hardly meet the QoS requirements of delay-sensitive services. This triggers the consideration of constituting a DSRC and Cellular-Vehicle-to-Everything (C-V2X) hybrid vehicular network. Nevertheless, using cellular links to carry traffic can cause high cellular bandwidth costs. In this paper, we propose a Traffic Differentiated Clustering Routing (TDCR) mechanism in a Software Defined... (More)
Vehicles equipped with sensors can participate in mobile crowdsourcing applications. Vehicular Ad Hoc Networks (VANETs) based on Dedicated Short Range Communication (DSRC) are used to carry sensing data. However, multi-hop transmissions for gathering data to Road Side Units (RSUs) in VANETs suffer from low data rate and long end-to-end delay, which can hardly meet the QoS requirements of delay-sensitive services. This triggers the consideration of constituting a DSRC and Cellular-Vehicle-to-Everything (C-V2X) hybrid vehicular network. Nevertheless, using cellular links to carry traffic can cause high cellular bandwidth costs. In this paper, we propose a Traffic Differentiated Clustering Routing (TDCR) mechanism in a Software Defined Network (SDN)-enabled hybrid vehicular network. The proposed mechanism includes a centralized one-hop clustering approach and a data delivery optimization method. Particularly, the optimization is to make a tradeoff between cellular bandwidth cost and end-to-end delay, for Cluster Heads (CHs) delivering their aggregated data either by multi-hop Vehicle-to-Vehicle (V2V) transmissions or by cellular networks. Since the problem is proven to be NP-hard, a two-stage heuristic algorithm is designed. We carry out simulations to evaluate the performance of our data collection scheme and the results show that it performs better than traditional mechanisms. (Less)
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author
; ; ; and
organization
alternative title
Trafikdifferentierad kluster routing i DSRC och hybrida vehikulära nätverk
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Vehikulära nätverk SDN trådlösa system
in
IEEE Transactions on Vehicular Technology
volume
69
issue
7
pages
7723 - 7734
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:85087083765
ISSN
1939-9359
DOI
10.1109/TVT.2020.2990174
project
ELLIIT LU P01: WP2 Networking solutions
language
English
LU publication?
yes
id
3cceb3d3-6129-4748-8998-b4c85fa44321
date added to LUP
2020-04-21 13:26:50
date last changed
2022-04-18 21:45:46
@article{3cceb3d3-6129-4748-8998-b4c85fa44321,
  abstract     = {{Vehicles equipped with sensors can participate in<br/>mobile crowdsourcing applications. Vehicular Ad Hoc Networks<br/>(VANETs) based on Dedicated Short Range Communication<br/>(DSRC) are used to carry sensing data. However, multi-hop<br/>transmissions for gathering data to Road Side Units (RSUs) in<br/>VANETs suffer from low data rate and long end-to-end delay,<br/>which can hardly meet the QoS requirements of delay-sensitive<br/>services. This triggers the consideration of constituting a DSRC<br/>and Cellular-Vehicle-to-Everything (C-V2X) hybrid vehicular<br/>network. Nevertheless, using cellular links to carry traffic can<br/>cause high cellular bandwidth costs. In this paper, we propose<br/>a Traffic Differentiated Clustering Routing (TDCR) mechanism<br/>in a Software Defined Network (SDN)-enabled hybrid vehicular<br/>network. The proposed mechanism includes a centralized one-hop<br/>clustering approach and a data delivery optimization method.<br/>Particularly, the optimization is to make a tradeoff between<br/>cellular bandwidth cost and end-to-end delay, for Cluster Heads<br/>(CHs) delivering their aggregated data either by multi-hop<br/>Vehicle-to-Vehicle (V2V) transmissions or by cellular networks.<br/>Since the problem is proven to be NP-hard, a two-stage heuristic<br/>algorithm is designed. We carry out simulations to evaluate the<br/>performance of our data collection scheme and the results show<br/>that it performs better than traditional mechanisms}},
  author       = {{Landfeldt, Björn and Qi, Weijing and Guo, Lei and Song, Qingyang and Jamalipour, Abbas}},
  issn         = {{1939-9359}},
  keywords     = {{Vehikulära nätverk SDN trådlösa system}},
  language     = {{eng}},
  month        = {{04}},
  number       = {{7}},
  pages        = {{7723--7734}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{IEEE Transactions on Vehicular Technology}},
  title        = {{Traffic differentiated clustering routing in DSRC and C-V2X hybrid vehicular networks}},
  url          = {{https://lup.lub.lu.se/search/files/78602274/TVT_weiying.pdf}},
  doi          = {{10.1109/TVT.2020.2990174}},
  volume       = {{69}},
  year         = {{2020}},
}