Packet Length Adaptation in WLANs with Hidden Nodes and Time-Varying Channels

Krishnan, Michael N.; Haghani, Ehsan; Zakhor, Avideh

doi:10.1109/glocom.2011.6134255

Cited by 32 publications

(16 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Krishnan et al [21] apply a complete packet loss model and propose a local packet length adaptation algorithm whereby each node dynamically adjusts its packet length based on estimates of the probabilities of each significant type of packet loss. In their technique, the access point periodically broadcasts channel occupancy information, which each node uses in conjunction with its own local observations in order to estimate current network conditions.…”

Section: Related Workmentioning

confidence: 99%

Improving Energy-Efficiency with a Green Cognitive Algorithm to Overcome Weather’s Impact in 2.4 GHz Wireless Networks

et al. 2015

View full text Add to dashboard Cite

García Pineda, M.; Ramos Pascual, F.; Lloret, J. (2015). Improving energyefficiency with a green cognitive algorithm to overcome weather's impact in 2. Abstract: The necessity of energy-efficient systems in order to protect our environment, cope with global warming, and facilitate sustainable development is paramount for the researching world because the survival of the planet is at stake. Thus, optimizing the energy efficiency of wireless communications not only reduces environmental impact, but also cuts overall network costs and helps make communication more practical and affordable in a pervasive setting. This paper is focused on a solution to enhance the energy efficiency in outdoor wireless local area networks using the standard IEEE 802.11b/g. So, from a previous study about the weather's impact on the number of control frame errors and retransmissions, we propose a green cognitive algorithm that adapts wireless transmissions to the channel conditions caused by the weather. The goal is to reduce retransmissions and control errors in order to save energy and to enhance network performance. Our proposal is based on a mathematical analysis in which we see how the frame error rate is related to the power consumption according to the modulation scheme and data rate used by transmitters. Finally, several simulations show that the green cognitive algorithm presented in this paper involves significant energy savings for outdoors WLANs.

show abstract

Section: Related Workmentioning

confidence: 99%

Improving Energy-Efficiency with a Green Cognitive Algorithm to Overcome Weather’s Impact in 2.4 GHz Wireless Networks

et al. 2015

View full text Add to dashboard Cite

show abstract

“…The channel feedback can be avoided by implicitly relying on first packet ACKs in packet bursts [3] using the TXOP extension in 802.11e/n networks. An extension to [2] that considers packet length adaptation to maximise link throughput is presented in [4]. It relies on a joint packet length optimisation over MAC collisions and channel errors.…”

Section: Related Workmentioning

confidence: 99%

A Non-Parametric Approach to Estimating Ambient Noise Levels in the Presence of Bursty Interference

Zarikoff

Leith

2012

IEEE Wireless Commun. Lett.

View full text Add to dashboard Cite

Abstract-We propose a new transmitter-side approach for estimating the contribution to the packet error rate that is due to background noise, distinct from the contribution due to interference bursts. The technique relies solely on an existing data-ack handshake and the transmitters ability to adjust or monitor the packet size. One immediate application of this information is in rate adaptation. Experimental measurements with microwave oven interference are presented to demonstrate the practical utility of the proposed technique.

show abstract

“…We have also demonstrated the accuracy of our proposed estimation method via NS-2 simulations. Furthermore we have shown that these probability estimation techniques can be used to improve overall throughput by as much as 25% via packet length adaptation [10], 50% via carrier sense threshold adaptation [11], and 400% via modulation rate adaptation [9].…”

Section: Introduction and Related Workmentioning

confidence: 99%

Local estimation of collision probabilities in 802.11 WLANs: An experimental study

Christine

Krishnan

et al. 2011

2011 IEEE Wireless Communications and Networking Conference

View full text Add to dashboard Cite

Abstract-Current 802.11 networks do not typically achieve the maximum potential throughput despite link adaptation and crosslayer optimization techniques designed to alleviate many causes of packet loss. A primary contributing factor is the difficulty in distinguishing between various causes of packet loss, including collisions caused by high network use, co-channel interference from neighboring networks, and errors due to poor channel conditions. In previous work, we used NS-2 simulations to show that estimating various components of loss probability such as direct collisions, staggered collisions, and physical layer errors, can be used to improve the throughput of 802.11 networks via link adaptation, carrier sense threshold adaptation, and MAC layer packet length adaptation. We have also proposed a method to estimate the various components of loss probability by comparing channel occupancy at a station with that of its access point. In this paper, we use Ath5k open source wireless card driver in an experimental testbed in order to experimentally verify the accuracy of our previously proposed approach to estimating collision probability. We show that our proposed methodology accurately estimates overall collision probability to within 5%. This experimental verification demonstrates the feasibility of our collision probability estimation approach and the resulting throughput gains in practice.

show abstract

Packet Length Adaptation in WLANs with Hidden Nodes and Time-Varying Channels

Cited by 32 publications

References 11 publications

Improving Energy-Efficiency with a Green Cognitive Algorithm to Overcome Weather’s Impact in 2.4 GHz Wireless Networks

Improving Energy-Efficiency with a Green Cognitive Algorithm to Overcome Weather’s Impact in 2.4 GHz Wireless Networks

A Non-Parametric Approach to Estimating Ambient Noise Levels in the Presence of Bursty Interference

Local estimation of collision probabilities in 802.11 WLANs: An experimental study

Contact Info

Product

Resources

About