Comparison of various routing algorithms for VANETS

Gupta, Arohi; Singh, Raghuraj; Ather, Danish; Shukla, Ravi

doi:10.1109/sysmart.2016.7894509

Cited by 15 publications

(6 citation statements)

References 12 publications

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“…Wenxiao Dong et al (2017) presented a routing algorithm called cluster-based recursive broadcast (CRB) which is used to solve the issues and problems faced by other scientists in this field [13]. The re-broadcasting is executed only by the chosen vehicles.…”

Section: Literature Surveymentioning

confidence: 99%

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Multicast Routing for Path Establishment in Vehicular Ad Hoc Network

Kaur¹,

Shilpa²

2022

IJSREM

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Vehicular Ad hoc Network (VANET) is a network that consists of several vehicular nodes which can enter or exit the network freely. It is challenging task to set up a secure and efficient route amid the source node and the destination node due to the higher mobility of vehicles within VANETs. Two components such as least hop count and the sequence number are considered to select the path between source and destination. This path is established using the multicasting method in this research work. The data is routed for selecting the root nodes from the network in this multicasting method. By the means of root node, the path is selected amid source and destination. The projected method is deployed on NS2 and the analytic outcomes are obtained in the evaluation of certain parametric values. Keywords VANET, Broadcasting, Multicasting, LAR

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Section: Literature Surveymentioning

confidence: 99%

“…Arohi Gupta et al (2016) presented the revision of VANET and their routing protocols. The paper also compares several routing algorithms for VANETs alongside with their compensation and drawbacks [19].…”

Section: Literature Surveymentioning

confidence: 99%

Multicast Routing for Path Establishment in Vehicular Ad Hoc Network

Kaur¹,

Shilpa²

2022

IJSREM

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“…Apart from assumption issue, the proposed routing scheme Optimized Fuzzy AODV (OFAODV) is looking up to tune the most used routing protocol in literature: AODV routing protocol [31,32] within three stages during the route discovery phase. The first two stages are carried out before sending the (RREQ) packet, while the last stage is regarding specifying the selected route lifetime in the route reply packet.…”

Section: Proposed Routing Schemementioning

confidence: 99%

Multiobjective Optimized Routing Protocol for VANETs

Fahad

Ali

2018

Advances in Fuzzy Systems

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Vehicular ad hoc network (VANET) routing protocols have been attracting a considerable attention of both research and industrial communities, due to their significant role in intelligent transportation system applications. The present paper adopts an optimized integrated multicast, multicriteria, adaptive route lifetime as a routing protocol for VANETs. Whereby only an optimal subset of neighbor vehicles is chosen to relay route request (RREQ) messages based on distance, direction, speed, and future direction information in a combined sender-receiver manner. Among those selected optimal paths for route discovery, the best route with lowest cost will be chosen for forwarding data packets for a specified duration assigned depending on the obtained cost and number of intermediate vehicles of that route. Fuzzy controllers were employed to assess routes’ costs and their lifetimes. Furthermore, artificial bee colony (ABC) algorithm was used to concurrently optimize all used fuzzy systems and obtain the optimal highest rank of links’ cost values within which the neighbors could be selected as relay nodes in route discovery process. Simulation results prove that the proposed routing scheme significantly improves the network performance in both urban and highway scenarios, under different situations of vehicle density.

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“…One is proactive routing protocol, the other one is reactive routing protocols. However, no one kind of these traditional routing protocols is suitable for all VANET scenarios [6]. Also, because vehicles drive in a high speed, the topology in VANET can be very complicated soon [7].…”

Section: Introductionmentioning

confidence: 99%

A Two‐Level Communication Routing Algorithm Based on Vehicle Attribute Information for Vehicular Ad Hoc Network

Liang

2021

Wireless Communications and Mobile Computing

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Recently, the research on the vehicular ad hoc network (VANET) has been paid more attention by researchers with the quick development of the autonomous driving technology. In the VANET, vehicles can communicate with everything through the route established by routing algorithms. However, the topology of the VANET changes fast because the vehicles move fast. Also, as the number of vehicles increases, the probability of data collision and the transmission latency will also increase when communicating. Therefore, the VANET needs a stable, low-latency, and efficient route for vehicles to communicate with each other. However, the existing routing algorithms are either unable to aggregate data or are not suitable for the large-size VANET. In this paper, we consider the vehicle attribute information comprehensively and cluster the vehicles on the road by using the cluster algorithm we propose. We dynamically select the cluster heads at each moment according to their attribute information. We consider all kinds of nodes in the network and the vehicle nodes will communicate with each other through the cluster heads under the two-level communicating algorithm we propose. Compared with the existing cluster routing algorithm, the algorithm we propose is much more suitable for the large-size VANET because the cluster heads do not need a gateway to help them communicate. In the simulation part, we set some real street scenes in Simulation of Urban Mobility (SUMO) and the vehicles can move by the traffic rules like in the real world, which is more suitable for the VANET. After analysing the communication performance in Network Simulator version 2 (NS2), we can get a conclusion that the algorithm proposed is superior to the traditional routing algorithm. The route established by the algorithm we propose is much more stable and efficient. And the latency is also lower than the former.

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Comparison of various routing algorithms for VANETS

Cited by 15 publications

References 12 publications

Multicast Routing for Path Establishment in Vehicular Ad Hoc Network

Multicast Routing for Path Establishment in Vehicular Ad Hoc Network

Multiobjective Optimized Routing Protocol for VANETs

A Two‐Level Communication Routing Algorithm Based on Vehicle Attribute Information for Vehicular Ad Hoc Network

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