A Cooperative Congestion Control Approach within VANETs: Formal Verification and Performance Evaluation

Bouassida, Mohamed Salah; Shawky, M.

doi:10.1155/2010/712525

Cited by 27 publications

(20 citation statements)

References 8 publications

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“…Under the constraint of the fading channel, Ye et al [16] used probability theory to show that the congestion control model for vehicular network offered improvement in the energy efficiency and data packet transmission over adhocbased networks. Similar kind of work was carried out by Bouassida and Shawky [17] .They presented dynamic scheduling algorithm based on the priority of the messages. The focused on improving data reliability of real-time vehicular network.…”

Section: Related Workmentioning

confidence: 80%

Congestion Control using Cross layer and Stochastic Approach in Distributed Networks

Selvarani¹,

Vinodha²

2017

ijacsa

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Abstract-In recent past, the current Internet architecture has many challenges in supporting the magnificent network traffic. Among the various that affect the quality of communication in the massive architecture the challenge in maintaining congestion free flow of traffic is one of the major concerns. In this paper, we propose a novel technique to address this issue using cross layer paradigm based on stochastic approach with extended markovian model. The cross layer approach will bridge the physical layer, link layer, network layer and transport layer to control congestion. The resource provisioning operation will be carried out over link layer and the mechanism of exploring the congestion using stochastic approach will be implemented over the network layer. The Markov modeling is adopted to identify the best routes amidst of highly congested paths and it is carried out at the transport layer. An analytical research methodology will be adopted to prove that it is feasible to develop a technique that can identify the origination point of congestion and share the same with the entire network. It is found that this approach for congestion control is effective with respect to end to end delay, packet delivery ratio and processing time.

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Section: Related Workmentioning

confidence: 80%

Congestion Control using Cross layer and Stochastic Approach in Distributed Networks

Selvarani¹,

Vinodha²

2017

ijacsa

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“…Additionally, the algorithm compares the estimated collision rate with a threshold value to relate CW but does not discuss how this threshold value is calculated. The scheme proposed in [18] considers the priority of packets consisting of static and dynamic fields. The static priority field is defined according to the sender application and contents of the message.…”

Section: Related Workmentioning

confidence: 99%

An Efficient Channel Access Scheme for Vehicular Ad Hoc Networks

Hussain

Iqbal

Saeed

et al. 2017

Mobile Information Systems

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properly cited.Vehicular Ad Hoc Networks (VANETs) are getting more popularity due to the potential Intelligent Transport Systems (ITS) technology. It provides many efficient network services such as safety warnings (collision warning), entertainment (video and voice), maps based guidance, and emergency information. VANETs most commonly use Road Side Units (RSUs) and Vehicle-toVehicle (V2V) referred to as Vehicle-to-Infrastructure (V2I) mode for data accessing. IEEE 802.11p standard which was originally designed for Wireless Local Area Networks (WLANs) is modified to address such type of communication. However, IEEE 802.11p uses Distributed Coordination Function (DCF) for communication between wireless nodes. Therefore, it does not perform well for high mobility networks such as VANETs. Moreover, in RSU mode timely provision of data/services under high density of vehicles is challenging. In this paper, we propose a RSU-based efficient channel access scheme for VANETs under high traffic and mobility. In the proposed scheme, the contention window is dynamically varied according to the times (deadlines) the vehicles are going to leave the RSU range. The vehicles with shorter time deadlines are served first and vice versa. Simulation is performed by using the Network Simulator (NS-3) v. 3.6. The simulation results show that the proposed scheme performs better in terms of throughput, backoff rate, RSU response time, and fairness.

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“…This approach suffers from a lack of consideration toward synchronization, the appropriate choice of the next forwarders and the utility of the sent messages to the neighborhood [7,8]. Yet, it was proven in [9] that it is the most suitable approach for VANETs. We believe that enhancing the congestion control approach using hop by hop methods will be interesting if we let nodes decide dynamically of their state as for example to choose whether to accept packets or not as suggested in [10].…”

Section: Related Workmentioning

confidence: 99%

“…Here is presented the proposed congestion control, as described in [9], of which the basis is to define policies for message scheduling, it is carried out using priorities. The approach is divided in three steps: priority assignment, message scheduling and cooperative message transmission.…”

Section: B Hop By Hop Approachmentioning

confidence: 99%

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VANET congestion control approach using empathy

Idrissi

Laghrissi

Retal

et al. 2015

2015 5th International Conference on Information &Amp; Communication Technology and Accessibility (ICTA)

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as researchers got interested in the vehicular ad hoc networks (VANET), several approaches and uses have been given. One of the most interesting is the network congestion control in an ad hoc environment.Our work consists of introducing a new approach in congestion control of Vehicular Ad Hoc Networks (VANET), using a new model. Our model is based on the hop by hop congestion control methods. This approach implements an interesting concept of empathy that will be detailed further. We will model our problem using the Constraint Programming, and then a solver will be given to conclude with the satisfying obtained results, that we compared with a hop-by-hop approach.

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A Cooperative Congestion Control Approach within VANETs: Formal Verification and Performance Evaluation

Cited by 27 publications

References 8 publications

Congestion Control using Cross layer and Stochastic Approach in Distributed Networks

Congestion Control using Cross layer and Stochastic Approach in Distributed Networks

An Efficient Channel Access Scheme for Vehicular Ad Hoc Networks

VANET congestion control approach using empathy

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