Survey on Routing Protocols for Vehicular Ad Hoc Networks Based on Multimetrics

Tripp-Barba, Carolina; Zaldívar-Colado, Aníbal; Urquiza-Aguiar, Luis; Calderón, José Alfonso Aguilar

doi:10.3390/electronics8101177

Cited by 61 publications

(35 citation statements)

References 72 publications

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“…There are different approaches for obtaining the optimal protocol in accordance with various parameters of quality of service (QoS) [24], such as security, low collision, and interference [25]. A review of routing protocols based on several metrics is presented in [26].…”

Section: An Overview Of Routing Methods In Transport Networkmentioning

confidence: 99%

Intelligent Traffic Engineering in Software-Defined Vehicular Networking Based on Multi-Path Routing

et al. 2020

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This paper addresses traffic engineering (TE) issues in software-defined vehicular networking (SDVN). A brief analysis of the features of SDVN, which improves the efficiency of TE in SDVN, is presented. The feasibility of using multi-path routing with TE is substantiated. A procedure and an example of the formation of multiple routes based on a modified wave routing algorithm are given. Considering the features of the SDVN technology, a modified TE method is proposed, which reduces both the time complexity of forming multiple paths and the path reconfiguration time. The dynamic path reconfiguration algorithm is presented. INDEX TERMS Intelligent transportation system (ITS), multi-path routing, software-defined network, traffic engineering (TE). I. INTRODUCTION The ever-growing number of vehicles on the roads makes the vehicular ad-hoc network (VANET) an important research topic in the field of automotive and wireless technologies. VANETs are considered as a subclass of classic mobile ad hoc networks (MANETs) [1]-[3]. Where vehicles play the role of mobile nodes of the VANETs. That have embedded advanced equipment on-board, traveling on restricted routes (i.e., roads, streets and lanes), and communicating with each other for information exchange using vehicle-to-vehicle (V2V) communication protocols, and also between vehicles and roadside units (RSU) installed on the side of the roads (i.e., wireless and cellular network infrastructure), to form a link between a Vehicle-to-Infrastructure (V2I). Compared to static or low-speed moving nodes in a traditional wireless network, vehicles move faster and more unpredictably, resulting in frequent changes to VANET network settings [4]-[7]. This places higher demands on routing protocols in VANET networks. Most well-known routing methods are not effective for VANET networks [8]-[11]. In this regard, the urgent The associate editor coordinating the review of this manuscript and approving it for publication was Chao Chen.

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Section: An Overview Of Routing Methods In Transport Networkmentioning

confidence: 99%

Intelligent Traffic Engineering in Software-Defined Vehicular Networking Based on Multi-Path Routing

et al. 2020

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“…The topology based algorithms were studied in several surveys [15,[18][19][20][21][22]. Therefore, this section focuses only on some of the clustering strategies and cluster based routing protocols.…”

Section: -Related Workmentioning

confidence: 99%

Parked Vehicles as Cluster Heads and Gateways for Efficient Routing in VANET

Kadhim¹

2021

Preprint

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Vehicular Ad hoc Network (VANET) refers to wireless connection of a large number of moving and stopped cars to transfer some knowledge about some events (e.g. accident, traffic jam, weather condition, etc.) to the passengers and drivers. The mobility of vehicles in unexpected directions destroys the network links and decreases the stability of the route between vehicles. This problem leads to repeat the routing discovery and maintenance operations and as a result increases the overhead and delay. Several classes of routing polices were proposed such as flat, hierarchical, cluster based, etc. Moreover, in the cluster based routing protocols, number of cluster head selection and cluster formation schemes have been suggested. Unfortunately, the stability of cluster heads and links was not satisfied. This paper aims to solve this problem by producing a new clustering formation technique. This technique selects the parked and stopped vehicles to work as cluster heads and gateway nodes with high stability. Moreover, a new cluster based routing protocol to build optimal paths with maximum stability and minimum delay called CRSD depending on optimization model is suggested. Several simulation scenarios with various mobility speeds and numbers of stopped and parked vehicles showed that CRDS is better than link reliability-based clustering approach (LRCA) and cluster-based VANET oriented evolving graph (CVoEG) according to network overhead, average end to end delay, path stability, and packet delivery ratio.

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“…According to a recent survey [7], protocols that use several metrics have proved to be more suitable VANETs due to their ability to deal with dynamic environment changes caused by vehicle mobility. The authors selected parameters such as distance, density, link stability, speed, and position for the best proposal.…”

Section: Literature Reviewmentioning

confidence: 99%

Priority-based Routing Framework for VANETs

Felemban¹,

Naseer²,

Amjad³

2018

EAI Endorsed Transactions on Energy Web

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Vehicular ad hoc Network (VANET) is a collection of vehicles and associated roadside infrastructure which provide mobile wireless communication services. One of the significant use-cases is to transmit the images using VANET during emergencies like road accidents, traffic congestion, fire, or traffic hazards. Priority-based routing allows the network to route critical data on priority. This paper proposes a Priority-based Routing Framework for Image Transmission (PRoFIT) for VANETs. PRoFIT for VANETs delivers critical image features at high priority to the sink node for early processing. Simulations were carried out that use PRoFIT for VANETs during the mobility of vehicles in emergency scenarios. The detailed experiments show the impact of priority-based routing during the mobility of vehicles. Both grid topology and vehicular topology were simulated. Packet end-to-end delay and delivery ratios were analyzed. A comparison of results of critical image information delivery with PRoFIT and without PRoFIT shows the impact of using PRoFIT for VANETs.

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Survey on Routing Protocols for Vehicular Ad Hoc Networks Based on Multimetrics

Cited by 61 publications

References 72 publications

Intelligent Traffic Engineering in Software-Defined Vehicular Networking Based on Multi-Path Routing

Intelligent Traffic Engineering in Software-Defined Vehicular Networking Based on Multi-Path Routing

Parked Vehicles as Cluster Heads and Gateways for Efficient Routing in VANET

Priority-based Routing Framework for VANETs

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