GyTAR

Jerbi, Moez; Meraihi, Rabah; Senouci, Sidi‐Mohammed; Ghamri‐Doudane, Yacine

doi:10.1145/1161064.1161080

Cited by 90 publications

(3 citation statements)

References 1 publication

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“…3(b). For this, information is transferred between each other directly rather than through a centralized access point [11][12][13][14][15][16][17][18][19][20][21][22][23][24][25] .…”

Section: Architecture Of Networkmentioning

confidence: 99%

A Survey of Different VANET Routing Protocols

Shandil¹

2023

Evergreen

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Vehicle nodes can join or exit the VANET, which is a decentralized sort of network. Due to the network's dynamic nature, reactive routing methods are used for path establishment from source to destination. Reviewing current protocols that are regularly utilized in various proposals and application scenarios is the goal of this work. This review helps when developing selection criteria or metrics for a new protocol. The systematic literature review (SLR) is used in this survey on VANET routing protocols to analyze the most recent state-of-art recommendations. Additionally, in this study, a number of proactive routing and reactive routing protocols are defined. Reactive routing protocols construct a route from source to destination using the most recent network data. The proactive routing protocols establish paths using network-defined information. Routing tables are used by proactive routing technologies to construct paths. Analysis shows that reactive routing strategies outperform proactive routing techniques. The research shows that speed and distance are the most frequent and adaptable metrics in a procedure. Finally, the application of various methods is discussed along with some feasible directions for further research.

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“…3(b). For this, information is transferred between each other directly rather than through a centralized access point [11][12][13][14][15][16][17][18][19][20][21][22][23][24][25] .…”

Section: Architecture Of Networkmentioning

confidence: 99%

A Survey of Different VANET Routing Protocols

Shandil¹

2023

Evergreen

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“…Several proposed routing protocols aim to address requirements that are unique to urban scenarios. In [13], the authors propose a geographic-based routing protocol called the improved greedy traffic aware routing protocol (GyTAR), which considers vehicle densities and road topologies as main factors in deciding the best street to traverse. GyTAR comprises three major components—traffic density estimation, intersection selection, and forwarding data between two intersections—however, packet retransmissions caused by packet collisions or packet losses are not considered.…”

Section: Related Workmentioning

confidence: 99%

A Machine Learning System for Routing Decision-Making in Urban Vehicular Ad Hoc Networks

Lai

Lin

Wang

2015

International Journal of Distributed Sensor Networks

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In vehicular ad hoc networks (VANETs), network topology and communication links frequently change due to the high mobility of vehicles. Key challenges include how to shorten transmission delays and increase the stability of transmissions. When establishing routing paths, most research focuses on detecting traffic and selecting roads with higher vehicle densities in order to transmit packets, thus avoiding carry-and-forward scenarios and decreasing transmission delays; however, such approaches may not obtain accurate real-time traffic densities by periodically monitoring each road because vehicle densities change so rapidly. In this paper, we propose a novel routing information system called the machine learning-assisted route selection (MARS) system to estimate necessary information for routing protocols. In MARS, road information is maintained in roadside units with the help of machine learning. We use machine learning to predict the moves of vehicles and then choose some suitable routing paths with better transmission capacity to transmit packets. Further, MARS can help to decide the forwarding direction between two RSUs according to the predicted location of the destination and the estimated transmission delays in both forwarding directions. Our proposed system can provide in-time routing information for VANETs and greatly enhance network performance.

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“…The other one is the uncontrollable end-to-end delay, because, in the carry and forward strategy, the vehicle storing the packets does not know when to transmit until the next hop is found. Meanwhile, a series of specific intersection-based protocols were proposed to be applied to urban scenario: in Improved Greedy Traffic Aware Routing Protocol (GyTAR) [10], traffic density and road information are taken into consideration as a weighing factor to choose intersection. In GSR [11], the information of selected intersection is included in each packet.…”

Section: Introductionmentioning

confidence: 99%

Connectivity-Sensed Routing Protocol for Vehicular Ad Hoc Networks: Analysis and Design

Wang

Zhu

2015

International Journal of Distributed Sensor Networks

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With the fast development of vehicular ad hoc networks (VANETs), various VANET applications, especially safety and infotainment service, have stronger requirements for reliable network connectivity. Intermittent connectivity has become a thorny problem in VANETs, which causes unreliable vehicle to vehicle (V2V) connection due to high vehicle mobility. In this paper, we have studied the network connectivity using a stochastic analysis model and then we prove average intervehicle distance influences VANET connectivity greatly. Based on our analysis, we propose a connectivity-sensed routing protocol (CSR) for VANETs in urban scenario. CSR utilizes vehicle distribution information collected by intersection infrastructure to help vehicles select a road not only with progress to destination but also with better network connectivity. Moreover, simulation results demonstrate that the CSR protocol achieves much lower end-to-end delay, higher delivery rate, and higher throughput than traditional routing protocols.

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GyTAR

Cited by 90 publications

References 1 publication

A Survey of Different VANET Routing Protocols

A Survey of Different VANET Routing Protocols

A Machine Learning System for Routing Decision-Making in Urban Vehicular Ad Hoc Networks

Connectivity-Sensed Routing Protocol for Vehicular Ad Hoc Networks: Analysis and Design

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