An robust recursive ant colony optimization strategy in VANET for accident avoidance (RACO-VANET)

Amudhavel, J.; Kumar, Krishan; Jayachandrameena, Cindu; Abinaya,; Shanmugapriya,; Jaiganesh, S.; Kumar, S. Sampath; Vengattaraman, T.

doi:10.1109/iccpct.2015.7159383

Cited by 15 publications

(3 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Reference [13] introduces an algorithm based on ant colony optimization (ACO) to avoid congestion accidents when communicating. ACO takes inspiration from the foraging behavior of ants.…”

Section: Related Workmentioning

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

View full text Add to dashboard Cite

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.

show abstract

“…Reference [13] introduces an algorithm based on ant colony optimization (ACO) to avoid congestion accidents when communicating. ACO takes inspiration from the foraging behavior of ants.…”

Section: Related Workmentioning

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

View full text Add to dashboard Cite

show abstract

“…The proposed algorithm in this study combines evolutionary algorithms such as bio-inspired evolutionary algorithms to optimise V2V communication. Moreover, the recursive ant colony optimisation algorithm presented in [30] aims at enhancing message routing in VANETs. The authors focus on mitigating congestion in VANETs in order to avoid accidents.…”

Section: Related Studiesmentioning

confidence: 99%

Optimal resource utilisation algorithm for visible light communication‐based vehicular ad‐hoc networks

Msongaleli

Küçük

2019

IET Intelligent Transport Systems

View full text Add to dashboard Cite

“…Various researchers have proposed cluster based schemes [1] [2][3] [4][5] [6]. Collision avoidance is necessary for smooth function of system [8] [9][10] [11] [12] have presented collision avoidance based scheme to enhance network performance. Agent based approaches were highlighted in [13] [14] [15].…”

Section: Introductionmentioning

confidence: 99%

Multi agent based Framework for Traffic monitoring in VANET

Chadha¹,

Dahiya²

2016

IJCATR

View full text Add to dashboard Cite

For last many years studies have been carried out to inculcate technical advancement in the field of VANET traffic monitoring systems. Rapidly growing population and number of vehicles have increased the probability of network congestion, traffic jams and road accidents. To overcome these hazardous situations, series of technologies have been implemented on vehicle infrastructure in recent years. Vehicles are equipped with intelligent on board equipments and communication is facilitated between vehicle and roadside units to enhance road safety. In this paper multi agent base framework is proposed to increase coordination and synchronization among vehicles in VANETs.

show abstract

An robust recursive ant colony optimization strategy in VANET for accident avoidance (RACO-VANET)

Cited by 15 publications

References 30 publications

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

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

Optimal resource utilisation algorithm for visible light communication‐based vehicular ad‐hoc networks

Multi agent based Framework for Traffic monitoring in VANET

Contact Info

Product

Resources

About