Adaptive Quality-of-Service-Based Routing for Vehicular Ad Hoc Networks With Ant Colony Optimization

Developing highly efficient routing protocols for vehicular ad hoc networks (VANETs) is a challenging task, mainly due to the special characters of such networks: large-scale sizes, frequent link disconnections, and rapid topology changes. In this paper, we propose an adaptive quality-of-service (Qo...

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Published inIEEE transactions on vehicular technology Vol. 66; no. 4; pp. 3249 - 3264
Main Authors Guangyu Li, Boukhatem, Lila, Jinsong Wu
Format Journal Article
LanguageEnglish
Published New York IEEE 01.04.2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Institute of Electrical and Electronics Engineers
Subjects
Ant colony optimization
Ant colony optimization (ACO)
Computer Science
Computer simulation
Intersections
Mobile ad hoc networks
Packets (communication)
Protocol (computers)
Quality of service
quality of service (QoS)
Quality of service architectures
Roads
Route selection
Routing
routing protocol
Routing protocols
Vehicle dynamics
Vehicles
Vehicular ad hoc networks
vehicular ad hoc networks (VANETs)
Roads
Vehicular ad hoc networks
Quality of service
Routing
Routing protocols
Vehicle dynamics
Vehicles
Online AccessGet full text
ISSN0018-9545
1939-9359
DOI10.1109/TVT.2016.2586382

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Abstract Developing highly efficient routing protocols for vehicular ad hoc networks (VANETs) is a challenging task, mainly due to the special characters of such networks: large-scale sizes, frequent link disconnections, and rapid topology changes. In this paper, we propose an adaptive quality-of-service (QoS)-based routing for VANETs called AQRV. This new routing protocol adaptively chooses the intersections through which data packets pass to reach the destination, and the selected route should satisfy the QoS constraints and fulfil the best QoS in terms of three metrics, namely connectivity probability, packet delivery ratio (PDR), and delay. To achieve the given objectives, we mathematically formulate the routing selection issue as a constrained optimization problem and propose an ant colony optimization (ACO)-based algorithm to solve this problem. In addition, a terminal intersection (TI) concept is presented to decrease routing exploration time and alleviate network congestion. Moreover, to decrease network overhead, we propose local QoS models (LQMs) to estimate real time and complete QoS of urban road segments. Simulation results validate our derived LQM models and show the effectiveness of AQRV.
AbstractList Developing highly efficient routing protocols for vehicular ad hoc networks (VANETs) is a challenging task, mainly due to the special characters of such networks: large-scale sizes, frequent link disconnections, and rapid topology changes. In this paper, we propose an adaptive quality-of-service (QoS)-based routing for VANETs called AQRV. This new routing protocol adaptively chooses the intersections through which data packets pass to reach the destination, and the selected route should satisfy the QoS constraints and fulfil the best QoS in terms of three metrics, namely connectivity probability, packet delivery ratio (PDR), and delay. To achieve the given objectives, we mathematically formulate the routing selection issue as a constrained optimization problem and propose an ant colony optimization (ACO)-based algorithm to solve this problem. In addition, a terminal intersection (TI) concept is presented to decrease routing exploration time and alleviate network congestion. Moreover, to decrease network overhead, we propose local QoS models (LQMs) to estimate real time and complete QoS of urban road segments. Simulation results validate our derived LQM models and show the effectiveness of AQRV.
Developing highly efficient routing protocols for Vehicular Ad hoc Networks (VANETs) is a challenging task mainly due to the special characters of such networks: large-scale sizes, frequent link disconnections and rapid topology changes. In this paper, we propose an adaptive quality of service (QoS) based routing for VANETs called AQRV. This new routing protocol is to adaptively choose the intersections through which data packets pass to reach the destination, and the selected route should satisfy with the QoS constraints and fulfill the best QoS in terms of three metrics, namely connectivity probability, packet delivery ratio and delay. To achieve the above objectives, we mathematically formulate the routing selection issue as a constrained optimization problem, and propose an Ant Colony Optimization (ACO) based algorithm to solve this problem. In addition, a terminal intersection concept is presented to decrease routing exploration time and alleviate network congestion. Moreover, in order to decrease network overhead, we propose Local QoS Models (LQM) to estimate real-time and complete QoS of urban road segments. Simulation results validate our derived LQM models and show the effectiveness of AQRV.
Author Boukhatem, Lila
Guangyu Li
Jinsong Wu
Author_xml – sequence: 1
  surname: Guangyu Li
  fullname: Guangyu Li
  email: liguangyu0627@hotmail.com
  organization: Lab. de Rech. en Inf., Univ. of Paris-Sud, Orsay, France
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  givenname: Lila
  surname: Boukhatem
  fullname: Boukhatem, Lila
  email: Lila.Boukhatem@lri.fr
  organization: Lab. de Rech. en Inf., Univ. of Paris-Sud, Orsay, France
– sequence: 3
  surname: Jinsong Wu
  fullname: Jinsong Wu
  email: wujs@ieee.org
  organization: Dept. of Electr. Eng., Univ. of Chile, Santiago, Chile
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Snippet Developing highly efficient routing protocols for vehicular ad hoc networks (VANETs) is a challenging task, mainly due to the special characters of such...
Developing highly efficient routing protocols for Vehicular Ad hoc Networks (VANETs) is a challenging task mainly due to the special characters of such...
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StartPage 3249
SubjectTerms Ant colony optimization
Ant colony optimization (ACO)
Computer Science
Computer simulation
Intersections
Mobile ad hoc networks
Packets (communication)
Protocol (computers)
Quality of service
quality of service (QoS)
Quality of service architectures
Roads
Route selection
Routing
routing protocol
Routing protocols
Vehicle dynamics
Vehicles
Vehicular ad hoc networks
vehicular ad hoc networks (VANETs)
Title Adaptive Quality-of-Service-Based Routing for Vehicular Ad Hoc Networks With Ant Colony Optimization
URI https://ieeexplore.ieee.org/document/7501906
https://www.proquest.com/docview/2174418566
https://hal.science/hal-01466208
Volume 66
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