Estimating Density of Wireless Networks in Practice

Date

2015-09-02

Author

Eroğlu, Alperen
Onur, Ertan
Oğuztüzün, Mehmet Halit S.

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Density of a wireless network drastically impacts its performance. Adapting the networking protocols at run-time to density changes, which may not be predictable in advance, may improve the network performance. Estimating the density of a wireless network is the challenge we address in this paper. A wireless node may locally estimate the network density by measuring the received signal strength (RSS) of packets sent by its neighbours. However, RSS is prone to large- and small-scale fading, and this phenomenon negatively affects the accuracy of density estimators. In this study, we validate the existing RSS-based density estimators by controlled laboratory experiments conducted in the FIT IoT-LAB test-bed located in Lille, France. Further, we propose a new density estimator that is a fusion of existing estimators. Controlled laboratory experiments showed that the average absolute percentage deviation of the new density estimator is around 1 to 10 percent and the fusion approach overcomes the deficiencies of the existing RSS-based estimators.

Subject Keywords

Estimation, Wireless networks, Topology, Wireless sensor networks, Fading, Land mobile radio

URI

https://hdl.handle.net/11511/31238

DOI

https://doi.org/10.1109/pimrc.2015.7343531

Collections

Graduate School of Natural and Applied Sciences, Conference / Seminar

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Citation Formats

A. Eroğlu, E. Onur, and M. H. S. Oğuztüzün, “Estimating Density of Wireless Networks in Practice,” 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/31238.