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A Metropolitan-Scale Testbed for Heterogeneous Wireless Sensor Networks to Support CO2 Reduction

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Green Communication and Networking (GreeNets 2012)

Abstract

There exist two major contributions of network technology to reduce CO2 levels: reducing the energy consumption of the network itself, and supporting areas of application to reduce CO2 levels. The impact of the latter is potentially higher. Therefore, we present TUDμNet, a testbed for a metropolitan-scale heterogeneous sensor network with hundreds of nodes that help monitor and control CO2 levels in urban areas. Our testbed has four major application domains where it is being applied: TU Darmstadt’s award winning solar house, where temperature and CO2 levels are monitored; an 80 year old building in which a WSN is deployed to measure ambient parameters that contribute to future energy-saving remodeling; mobile sensors mounted on the streetcars of the public tramway system to measure location-specific CO2 levels that are collected in a publicly accessible database to obtain CO2 profiles; and a hybrid sensor network in TUD’s botanical garden to measure humidity, CO2 levels and soil properties to improve the management of urban parks. In this paper we present the concepts behind the design of our testbed, its design challenges and our solutions, and potential applications of such metropolitan-scale sensor networks.

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© 2013 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Guerrero, P.E. et al. (2013). A Metropolitan-Scale Testbed for Heterogeneous Wireless Sensor Networks to Support CO2 Reduction. In: Mauri, J.L., Rodrigues, J.J.P.C. (eds) Green Communication and Networking. GreeNets 2012. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 113. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37977-2_11

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  • DOI: https://doi.org/10.1007/978-3-642-37977-2_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37976-5

  • Online ISBN: 978-3-642-37977-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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