A rate adaptation algorithm for IEEE 802.11 WLANs based on MAC-layer loss differentiation

Pang, Qixiang; Leung, Victor C. M.; Liew, Soung Chang

doi:10.1109/icbn.2005.1589671

Cited by 66 publications

(8 citation statements)

References 14 publications

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“…The fundamental goal of these venture and research are to create conventions and apparatuses to give satisfactory remote correspondence between vehicles. As, we as a whole realize that these examinations and practices are still re-enactment based on the grounds that it's infeasible to utilize genuine vehicles for the huge situation in various conditions to grow new calculations and convention for VANET [2].…”

Section: Literature Reviewmentioning

confidence: 99%

“…The clog and car collecting trouble is joined through steady chance mischances. Absence of avenue traffic safety and increment in the number of speedy automobile takes a no of valuable human lives and represents a proper risk to our condition additionally [1] [2]. One-of-a-kind consequences are recognized with natural infection and energy squander.…”

Section: Introductionmentioning

confidence: 99%

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Vehicular Networks Based Intelligent Transportation System

Eali¹

2019

IJITBD

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In this paper we tend to propose the instrument for recognizing fast vehicle in transport unintended Network (VANET). Keeping in mind the tip goal to understand the surrounding condition, each vehicle often communicates its position, temporal order knowledge in its correspondence run. The Central Server registers the traditional speed, blockage and street mischances of the vehicle utilizing time and position knowledge gotten from the RSUs. At the purpose once a vehicle is found to own a lot of speed or Road mishap had happened than the specific space, the Central Server communicates this knowledge to any or all RSUs in its vary. At the purpose once the vehicle once more comes into the scope of a RSU, it illuminates the vehicle to drive within as way as doable or to require redirection utilizing a notice message. Keeping in mind the tip goal to assess the execution of our set up, we've got utilised Veins 0.5 breed check system that chips away at OMNeT++ as a system check system, Simulation of Urban Movableness (SUMO) as traffic check system.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Vehicular Networks Based Intelligent Transportation System

Eali¹

2019

IJITBD

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“…Pang and Liew [8] proposed an extension to Auto Rate Fallback (ARF) with integration of loss differentiation. This work exploits a loss-differentiating MAC layer technique [9] by the same authors.…”

Section: Related Workmentioning

confidence: 99%

“…Otherwise, if all the frame is lost, it infers that the packet loss results from a collision. In this work [8],"the data rate is reduced only when a loss of data frame is caused by link errors". However, the authors do not suggest how to react to packet loss from collision and how to deal with retransmissions after a packet loss.…”

Section: Related Workmentioning

confidence: 99%

Loss Differentiated Rate Adaptation in Wireless Networks

Biaz

2008

2008 IEEE Wireless Communications and Networking Conference

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Data rate adaptation is the process to select the optimal data rates for instantaneous channel conditions. This paper proposes a data rate adaptation technique that poses following traits: (1) it uses the periodical IEEE 802.11 beacons; (2) moreover, it distinguishes packet losses due to channel fading from those due to collisions and take actions appropriate for each type of loss; (3) in addition, it introduces the lowest data rate retransmission for the very first retransmission after packet loss. In traditional strategies, after a packet loss, retransmissions are often attempted with the same data rate. This work analytically shows that retransmitting at the lowest data rate is more efficient, especially in poor SNR environment or when there is no knowledge of the loss cause (channel degradation or transmission collision). This scheme, dubbed Loss Differentiated Rate Adaptation (LDRA), is extensively evaluated through simulations and shown to perform better especially when network collision is heavy.

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“…The 802.11 WLAN standards do not have any inbuilt algorithm to control the multiple transmission rates. Many existing rate adaptation schemes (Biaz and Wu, 2008;Chen et al, 2012;Holland et al, 2001;Kamerman and Monteban, 1997;Pang et al, 2005;Schmidt et al, 2012;Senthil Kumar and Krishnan, 2010;Wong et al, 2006) has proved their throughput increase using various rate control mechanisms and IEEE standards. Based on the survey of the rate control mechanisms, the primary aim of the authors was in improving the throughput by selecting an optimal rate than in minimizing the delay.…”

Section: Introductionmentioning

confidence: 99%

A Guaranteed Time and Rate Control Method for Improving QoS in WLAN

Anitha¹,

Jayakumari²

2016

American Journal of Applied Sciences

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Wireless Local Area Network is a mobile network, which connects the users in a small specific area. The devices within the area connect with each other through the wireless access points. The main requirements for the connection between the wireless devices are the time and the power. The transmission time between the wireless devices should be less and the power should be effective for the transmission to avoid the loss. With these considerations, we propose a novel method which hybrids the guaranteed time and power. The proposed method is designed for the network, which quickly responds to the slight changes and the normal networks. Guaranteed time slots are used for the time management and the rate control is used for the guaranteed power. This method works well in both the sensitive and insensitive areas. The performance of the proposed work is accurately analyzed using the analytical and the simulation methods. The numerical results obtained is accurate with the simulation results obtained using the ns-2.34 simulator. The throughput obtained is higher for the sensitive areas with minimum delay than the insensitive areas and closely matches the analytical results.

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A rate adaptation algorithm for IEEE 802.11 WLANs based on MAC-layer loss differentiation

Cited by 66 publications

References 14 publications

Vehicular Networks Based Intelligent Transportation System

Vehicular Networks Based Intelligent Transportation System

Loss Differentiated Rate Adaptation in Wireless Networks

A Guaranteed Time and Rate Control Method for Improving QoS in WLAN

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