Distributed α-fair transmit power adaptation based congestion control in VANET

Navdeti, Chandrakant; Giri, Chandan; Banerjee, Indrajit

doi:10.1145/3288599.3288606

Cited by 6 publications

(4 citation statements)

References 20 publications

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“…Navdeti et al 45 proposed a distributed

α

‐fair transmit power adaptation algorithm to reduce traffic and optimally select the vehicle in terms of utility function optimization. They consider the stability and quality of the link for better routing decisions to avoid link breakage.…”

Section: Related Workmentioning

confidence: 99%

Channel capacity optimization scheme for safety applications in vehicular ad hoc networks

Sharma

Chahal

Harit

et al. 2022

Int J Communication

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Summary Vehicular ad hoc networks (VANETs) have attracted significant attention due to their safety, traffic management, and infotainment applications. However, vehicular communication suffers from network congestion caused by high vehicle density, which raises numerous challenges for efficiently disseminating emergency messages in vehicular safety applications. This paper aims to solve the problem of capacity optimization of the control channel (CCH) during the delivery of emergency messages. Hence, we propose a novel channel capacity optimization scheme for safety application (CCOSSA). The performance of the CCOSSA scheme is evaluated by performing comprehensive traffic and network simulations regarding various parameters such as the probability of reception, channel busy time (CBT) ratio, and average delay. CCOSSA scheme is compared with the state‐of‐the‐art schemes under varying vehicle density and distance from the source in which the proposed scheme shows an improvement in the performance.

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“…Navdeti et al 45 proposed a distributed

α

Section: Related Workmentioning

confidence: 99%

Channel capacity optimization scheme for safety applications in vehicular ad hoc networks

Sharma

Chahal

Harit

et al. 2022

Int J Communication

View full text Add to dashboard Cite

show abstract

“…The centralized approach in vehicular communication depends on the Roadside unit (RSU) which is placed on the roads for controlling and monitoring the vehicles. The main point RSU used to determine the signal metrics such as network traffic, location of nodes, direction, vehicle break conditions of the neighbor vehicles, in addition to providing the vehicles with route information to select the optimum path (Navdeti et al, 2019) and (Khan and Lee, 2019). VANET counted the centralized approach as the best in some cases because it reduces the network overhead and is preferable to keep the connectivity of topology with the help of RSU.…”

Section: Topology-based Congestion Controlmentioning

confidence: 99%

A comprehensive survey on congestion control techniques and the research challenges on VANET

2022

ZJPAS

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“…The RSUs and OBUs direct all DSRC connected vehicles to provide on-demand information about the ongoing network traffic such as speed, position, acceleration, braking status, etc. of the neighboring vehicles [109][110][111][112]. Centralized approaches are easier to implement because they incur less overhead in routing connectivity.…”

Section: Topology-based Congestion Controlmentioning

confidence: 99%

A survey on congestion detection and control in connected vehicles

2020

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The dynamic nature of vehicular ad hoc network (VANET) induced by frequent topology changes and node mobility, imposes critical challenges for vehicular communications. Aggravated by the high volume of information dissemination among vehicles over limited bandwidth, the topological dynamics of VANET causes congestion in the communication channel, which is the primary cause of problems such as message drop, delay, and degraded quality of service. To mitigate these problems, congestion detection, and control techniques are needed to be incorporated in a vehicular network. Congestion control approaches can be either open-loop or closed loop based on pre-congestion or post congestion strategies. We present a general architecture of vehicular communication in urban and highway environment as well as a state-of-the-art survey of recent congestion detection and control techniques. We also identify the drawbacks of existing approaches and classify them according to different hierarchical schemes. Through an extensive literature review, we recommend solution approaches and future directions for handling congestion in vehicular communications.

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Distributed α-fair transmit power adaptation based congestion control in VANET

Cited by 6 publications

References 20 publications

Channel capacity optimization scheme for safety applications in vehicular ad hoc networks

Channel capacity optimization scheme for safety applications in vehicular ad hoc networks

A comprehensive survey on congestion control techniques and the research challenges on VANET

A survey on congestion detection and control in connected vehicles

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