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Estimating packet reception rate in noisy environments

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Estimating packet reception rate in noisy environments. / Brown, James; Roedig, Utz; Boano, Carlo Alberto et al.
Proceedings of the 39rd IEEE Conference on Local Computer Networks, 2014. LCN 2014. IEEE, 2014. p. 583-591.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Brown, J, Roedig, U, Boano, CA & Roemer, K 2014, Estimating packet reception rate in noisy environments. in Proceedings of the 39rd IEEE Conference on Local Computer Networks, 2014. LCN 2014. IEEE, pp. 583-591. https://doi.org/10.1109/LCNW.2014.6927706

APA

Brown, J., Roedig, U., Boano, C. A., & Roemer, K. (2014). Estimating packet reception rate in noisy environments. In Proceedings of the 39rd IEEE Conference on Local Computer Networks, 2014. LCN 2014 (pp. 583-591). IEEE. https://doi.org/10.1109/LCNW.2014.6927706

Vancouver

Brown J, Roedig U, Boano CA, Roemer K. Estimating packet reception rate in noisy environments. In Proceedings of the 39rd IEEE Conference on Local Computer Networks, 2014. LCN 2014. IEEE. 2014. p. 583-591 doi: 10.1109/LCNW.2014.6927706

Author

Brown, James ; Roedig, Utz ; Boano, Carlo Alberto et al. / Estimating packet reception rate in noisy environments. Proceedings of the 39rd IEEE Conference on Local Computer Networks, 2014. LCN 2014. IEEE, 2014. pp. 583-591

Bibtex

@inproceedings{24554224ba9a47648748ea9576856e36,
title = "Estimating packet reception rate in noisy environments",
abstract = "For the design of dependable and efficient wireless sensor networks it is essential to estimate the achievable packet reception rate (PRR) in the deployment environment. Making such estimation is not trivial as packet delivery success depends on the level of interference present in the deployment area. In this work we show that it is possible to obtain a meaningful representation of the expected interference levels at the target location by measuring the probability distribution function of idle period lengths, and use this to estimate PRR before network deployment. We show how a probability distribution function of idle period lengths can be measured using off-the-shelf sensor nodes. We illustrate how to exploit this methodology to estimate PRR in dependence of the used packet length, and show that relatively short measurement periods provide enough data to obtain accurate predictions. We carry out an extensive experimen- tal evaluation showing that Wi-Fi interference can be captured using this method which allows PRR predictions in such Wi-Fi interference setting with an average error of only 3.2%.",
author = "James Brown and Utz Roedig and Boano, {Carlo Alberto} and Kay Roemer",
year = "2014",
month = sep,
day = "8",
doi = "10.1109/LCNW.2014.6927706",
language = "English",
isbn = "9781479937820",
pages = "583--591",
booktitle = "Proceedings of the 39rd IEEE Conference on Local Computer Networks, 2014. LCN 2014",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Estimating packet reception rate in noisy environments

AU - Brown, James

AU - Roedig, Utz

AU - Boano, Carlo Alberto

AU - Roemer, Kay

PY - 2014/9/8

Y1 - 2014/9/8

N2 - For the design of dependable and efficient wireless sensor networks it is essential to estimate the achievable packet reception rate (PRR) in the deployment environment. Making such estimation is not trivial as packet delivery success depends on the level of interference present in the deployment area. In this work we show that it is possible to obtain a meaningful representation of the expected interference levels at the target location by measuring the probability distribution function of idle period lengths, and use this to estimate PRR before network deployment. We show how a probability distribution function of idle period lengths can be measured using off-the-shelf sensor nodes. We illustrate how to exploit this methodology to estimate PRR in dependence of the used packet length, and show that relatively short measurement periods provide enough data to obtain accurate predictions. We carry out an extensive experimen- tal evaluation showing that Wi-Fi interference can be captured using this method which allows PRR predictions in such Wi-Fi interference setting with an average error of only 3.2%.

AB - For the design of dependable and efficient wireless sensor networks it is essential to estimate the achievable packet reception rate (PRR) in the deployment environment. Making such estimation is not trivial as packet delivery success depends on the level of interference present in the deployment area. In this work we show that it is possible to obtain a meaningful representation of the expected interference levels at the target location by measuring the probability distribution function of idle period lengths, and use this to estimate PRR before network deployment. We show how a probability distribution function of idle period lengths can be measured using off-the-shelf sensor nodes. We illustrate how to exploit this methodology to estimate PRR in dependence of the used packet length, and show that relatively short measurement periods provide enough data to obtain accurate predictions. We carry out an extensive experimen- tal evaluation showing that Wi-Fi interference can be captured using this method which allows PRR predictions in such Wi-Fi interference setting with an average error of only 3.2%.

U2 - 10.1109/LCNW.2014.6927706

DO - 10.1109/LCNW.2014.6927706

M3 - Conference contribution/Paper

SN - 9781479937820

SP - 583

EP - 591

BT - Proceedings of the 39rd IEEE Conference on Local Computer Networks, 2014. LCN 2014

PB - IEEE

ER -