Estimating Density of Wireless Networks in Practice

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.


Density estimation in large-scale wireless sensor networks
Eroğlu, Alperen; Onur, Ertan; Oğuztüzün, Mehmet Halit S.; Department of Computer Engineering (2015)
Density estimation is a significant problem in large-scale wireless ad-hoc networks since the density drastically impacts the network performance. It is crucial to make the network adaptive in the run-time to the density changes that may not be predictable in advance. Local density estimators are required while taking run-time control decisions to improve the network performance. A wireless node may estimate the density locally by measuring the received signal strength (RSS) of packets sent by its neighbour...
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Wireless sensor networks are application-specific networks that necessitate the development of specific network and information processing architectures that can meet the requirements of the applications involved. The most important challenge related to wireless sensor networks is the limited energy and computational resources of the battery powered sensor nodes. Although the central processing of information produces the most accurate results, it is not an energy-efficient method because it requires a cont...
Static range assignment in wireless sensor networks
Uzun, Erkay; Yazıcı, Adnan; Department of Computer Engineering (2010)
Energy is a limited source in wireless sensor networks and in most applications, it is non-renewable; so designing energy-effcient communication patterns is very important. In this thesis, we define the static range assignment (SRA) problem for wireless sensor networks, which focuses on providing the required connectivity in the network with minimum energy consumption. We propose minimum spanning tree based (MST), pruned minimum spanning tree based (MSTP) and shortest path incremental (SPI) algorithms as eff...
Evaluation of Terahertz Channel in Data Centers
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Designing data center network topologies with the objective of minimizing cost, increasing bisection bandwidth and decreasing latency is a difficult problem. The solutions in the literature mainly concentrate on wired networks and minimizing wiring costs thereof. Only a few proposals address the benefit of employing wireless communications in data centers due to spectrum and bandwidth limitations of current wireless communication technologies. By using terahertz communication in a data center as a complemen...
Citation Formats
A. Eroğlu, E. Onur, and M. H. S. Oğuztüzün, “Estimating Density of Wireless Networks in Practice,” 2015, Accessed: 00, 2020. [Online]. Available: