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Title	Designing Large-Scale Wireless Sensor Networks For Urban Environmental Sensing
ID_Doc	19111
Authors	Cabral A.; Waldo J.
Year	2023
Published	UbiComp/ISWC 2023 Adjunct - Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2023 ACM International Symposium on Wearable Computing
DOI	http://dx.doi.org/10.1145/3594739.3610768
Abstract	Hardware and software advances have paved the way for large-scale environmental urban sensor networks, but there is no guidance on where to place a finite number of nodes and how to assess the network design. In this work, I develop and test two quality metrics for urban sensor networks - one that focuses on the impacts of urban form and one that acknowledges cities as social spaces. I then propose a data-driven algorithm grounded in urban planning theory for a new urban sensor network design. Through real-world deployments and simulations using open data, I will compare my proposed design and quality metrics to those used in prior sensor networks. This work will enable the deployment of environmental sensor networks that produce useful citywide data for numerous stakeholders despite the complexities of urban environments. © 2023 ACM.
Author Keywords	Environmental Sensing; Sensor Networks; Smart Cities; Urban Sensing

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