Congestion control in vehicular ad hoc networks using meta-heuristic techniques

Taherkhani, Nasrin; Pierre, Samuel

doi:10.1145/2386958.2386966

Cited by 25 publications

(11 citation statements)

References 5 publications

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“…An metaheuristic-based approach called Uni-Objective tabu search (UOTabu) is proposed in [19] to handle VANETs congestion, which offers performing calculations to determine channel usage level along with transmission range, which consequently leads to rate-tuning to minimise delay. This uni-objective scheme considers delay as an objective function.…”

Section: Related Workmentioning

confidence: 99%

“…Significance of studies can easily be judged based on above-mentioned literature, researchers implemented proactive scheduling based on future prediction of traffic as explained in [12], scheduling based on prediction is based on some probability of occurrence which effect QoS, while tabu search-based scheduling [19] implemented to address the delay, but the experimented time window is only 3 seconds, which does not allow the network to be congested with chosen problem sizes. Under such circumstances, tabu search would only incur more complexity overhead rather than help solve the congestion problem.…”

Section: Related Workmentioning

confidence: 99%

“…The clients of Vehicular Networks can be aware of unfavorable circumstances caused by vehicular correspondences and transmitting the data about encompassing situations [1,2,19]. Congestion happens in the channels when these channels face a dense vehicular saturation that is contending to access the channel.…”

Section: Introductionmentioning

confidence: 99%

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Managing Congestion in Vehicular Networks Using Tabu Search

Ishaq¹,

Malik

Aydın

2018

Communications in Computer and Information Science

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In this era of communication, exponentially growing networks bring a lot of challenges to address for smoother network functionalities. Among them is efficiency in handling packet traffic to avoid and control congestion. A particular case is applicable to Vehicular Ad-hoc Networks, which are known with unbalanced resource utilisation, communication overheads, high transmission delay and least transmission capacity. This paper aims to minimise the delay and jitter for enhancing the Quality of Service (QoS) in Vehicular Adhoc Networks (VANET) using tabu search algorithm with multi-channel allocation capability. We proposed a scheme that prioritises each message considering the basis of message type or its substances, such as crisis, reference point, and administration oriented etc., and uses tabu search for scheduling the transmission of queued messages in order to enhance the efficiency, security, and durability of VANET. A comprehensive simulation is conducted to validate the proposed scheme and to evaluate the performances in comparison with other state-of-the-art approaches.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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Managing Congestion in Vehicular Networks Using Tabu Search

Ishaq¹,

Malik

Aydın

2018

Communications in Computer and Information Science

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“…Taherkhani and Pierre [20] proposed a Uni-Objective Tabu Search (UOTabu) strategy for controlling congestion in VANets. In the proposed strategy, after detecting the congestion situation via measuring the channel usage level, transmission range and rate are tuned by minimizing the delay function.…”

Section: Background and Related Workmentioning

confidence: 99%

Improving dynamic and distributed congestion control in vehicular ad hoc networks

Taherkhani

Pierre

2015

Ad Hoc Networks

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“…Quality of Service (QoS) should be considered to guarantee the reliability and safety of the vehicular communications and to improve the performance of VANET [3]- [4]. A significant need for congestion control strategies is important to improve the VANET performance in delivering safety messages to road users [4], [14]. The objective of congestion control in VANET is to limit the loads on the wireless network to provide better access to the wireless platform through algorithms that reduce the nodes' transmission power.…”

Section: Introductionmentioning

confidence: 99%

Congestion control in vehicular adhoc network: a survey

Elias¹,

Hatim²,

Darus³

et al. 2019

IJEECS

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Vehicular adhoc network (VANET) has a significant potential in reducing traffic congestion to provide a stress-free and safer platform for road drivers to travel on the road. However, the current VANET is vulnerable to several challenges which need to be overcome. Congestion control is considered as one of the main challenges in VANET due to the high dynamic topology characteristic. Reliable congestion control (CC) are necessary to provide effectient dissemination of time-critical safety messages in VANET applications; safety and non-safety applications. In this paper, we present the overview on VANET, its application and challenges. We also discuss on the congestion control and provide a brief survey on the congestion control algorithms such as vehicular cloud computing, multiplicative rate decreasing algorithm, multi-objective Tabu search, D-FPAV algorithm and beaconing strategies which have been proposed in order to provide better solutions towards achieving a successful Smart Tranporation System.

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Congestion control in vehicular ad hoc networks using meta-heuristic techniques

Cited by 25 publications

References 5 publications

Managing Congestion in Vehicular Networks Using Tabu Search

Managing Congestion in Vehicular Networks Using Tabu Search

Improving dynamic and distributed congestion control in vehicular ad hoc networks

Congestion control in vehicular adhoc network: a survey

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