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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Barth, M., Boriboonsomsin, K.: Real-World Carbon Dioxide Impacts of Traffic Congestion. Journal of the Transportation Research Board 2058(1), 163–171 (2010)
Gluhak, A., Krco, S., Nati, M., Pfisterer, D., Mitton, N., Razafindralambo, T.: A Survey on Facilities for Experimental Internet of Things Research. IEEE Communications Magazine 49(11), 58–67 (2011)
Guerrero, P.E., Buchmann, A., Khelil, A., Van Laerhoven, K.: TUDμNet, a Metropolitan-Scale Federation of Wireless Sensor Network Testbeds. In: 9th European Conference on Wireless Sensor Networks, EWSN 2012 (February 2012)
Hannus, M., Kazi, A.S., Zarli, A. (eds.): ICT Supported Energy Efficiency in Construction. REEB Project Consortium (February 2010)
Hilty, L., Coroama, V.: Energy Consumed vs. Energy Saved by ICT: A Closer Look. In: 23rd. Intl. Conference on Informatics for Environmental Protection, pp. 353–361. Shaker Verlag, Aachen (2009)
Jacobi, D., Guerrero, P.E., Petrov, I., Buchmann, A.: Structuring Sensor Networks with Scopes. In: 3rd IEEE European Conference on Smart Sensing and Context, EuroSSC 2008, Zurich, Switzerland (October 2008)
Maloney, C.: Foreword. In: 2nd. EEB Data Models Community Workshop, Sophia Antipolis, France, p. 6 (October 2011)
Mattern, F., Staake, T., Weiss, M.: ICT for Green: How Computers Can Help Us to Conserve Energy. In: 1st Int. Conference on Energy-Efficient Computing and Networking, pp. 1–10. ACM, New York (2010)
Mulligan, R.: Coverage in Wireless Sensor Networks: A Survey. Network Protocols and Algorithms 2(2), 27–53 (2010)
US Dept. of Energy. Solar Decathlon (2009), http://www.solardecathlon.org
Open Data Institute. The ODI Business Plan (May 2012), http://theodi.org
Schweizer, I., Fleischhacker, N., Muhlhäuser, M., Strufe, T.: SDF - Solar-aware Distributed Flow in Wireless Sensor Networks. In: 36th IEEE Conference on Local Computer Networks, pp. 382–390 (October 2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
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
Download citation
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)