Landscape of connectivity. Measuring and representing fluctuations in wireless network traffic in space

Landscape of connectivity. Measuring and representing fluctuations in wireless network traffic in... Measuring and understanding the propagation of wireless network signals in buildings is an important task for the planning of both architecture and wireless networks. This article documents an approach to understanding the wireless network traffic load in a location-specific manner, based on the users. The traffic counting system enables relating of traffic load (both cellular and Wi-Fi) to a position in space, using Connect or Not smartphone application. Positioning tracking is based on two technologies: Wi-Fi fingerprints, created using existing networking infrastructure and Bluetooth beacons installed at testing locations. The positioning system is able to track movement through space to a satisfactory level.The system was tested in the context of interactive installations as well as long-term observations of user behaviour in space. These experiments facilitate the conceptualization of a communication landscape, highlighting the activity of people and devices in the network layer. The system can, thus, be useful for post-occupancy evaluations. Moreover, it enables a profound understanding of signal propagation and use patterns in space. We argue that the compound measurement of these two phenomena, which are rarely related, forms a productive base for understanding the relevance of built architecture for the design of wireless infrastructures, and vice versa. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Automation in Construction Elsevier

Landscape of connectivity. Measuring and representing fluctuations in wireless network traffic in space

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Publisher
Elsevier
Copyright
Copyright © 2018 Elsevier B.V.
ISSN
0926-5805
D.O.I.
10.1016/j.autcon.2018.02.010
Publisher site
See Article on Publisher Site

Abstract

Measuring and understanding the propagation of wireless network signals in buildings is an important task for the planning of both architecture and wireless networks. This article documents an approach to understanding the wireless network traffic load in a location-specific manner, based on the users. The traffic counting system enables relating of traffic load (both cellular and Wi-Fi) to a position in space, using Connect or Not smartphone application. Positioning tracking is based on two technologies: Wi-Fi fingerprints, created using existing networking infrastructure and Bluetooth beacons installed at testing locations. The positioning system is able to track movement through space to a satisfactory level.The system was tested in the context of interactive installations as well as long-term observations of user behaviour in space. These experiments facilitate the conceptualization of a communication landscape, highlighting the activity of people and devices in the network layer. The system can, thus, be useful for post-occupancy evaluations. Moreover, it enables a profound understanding of signal propagation and use patterns in space. We argue that the compound measurement of these two phenomena, which are rarely related, forms a productive base for understanding the relevance of built architecture for the design of wireless infrastructures, and vice versa.

Journal

Automation in ConstructionElsevier

Published: May 1, 2018

References

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