Abstract
Smart City concept comprises numerous technologies and heavily depends on sensors to be aware of its environment in order to adapt and to evolve. Wireless sensors networks thrive on the latest development of sensor technologies where sensors dynamically connect and rely on wireless networks which might not be available all the time or their geographical coverage can change depending on various circumstances. Special challenge are mobile wireless sensors where data transmission can be significantly obstructed. Therefore in a Smart City environment sensor data can be gathered by using powerful sensors on mobile devices(smart-phones), static sensors or vehicular sensors that rely on heterogeneous and changing network infrastructure. This paper presents one possible approach to build such network infrastructure where vehicular networks, augmented with existing city’s WiFi network, can be used to transmit (relay) and gather sensor data.
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On Board Diagnostic.
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References
MIT City Science Initiative, City Science @ MIT (2012). http://cpowerhouse.media.mit.edu/Public/CityScienceBrochureOct2012.pdf
Paskaleva, K.A.: The smart city: a nexus for open innovation? Intell. Build. Int. 3(3), 153–171 (2011)
Philosoph, M.: Smart Cities - Standardization, Israeli Standards Institution, Tel Aviv, Technical report (2014). http://energy.gov.il/Subjects/EnergyConservation/Documents/SmartCity/MichalPhilosoph.pdf
Caragliu, A., Del Bo, C., Nijkamp, P.: Smart Cities in Europe, pp. 65–82 (2011). http://www.inta-aivn.org/images/cc/Urbanism/backgrounddocuments/01_03_Nijkamp.pdf
Centre of Regional Science, Smart cities Ranking of European medium-sized cities, Vienna University of Technology, Vienna, Technical report (2007). http://www.smart-cities.eu/download/smart_cities_final_report.pdf
Pereira, V.: Porto City of the Future (2014). http://www.smartcityevent.com/porto-city-future/
Barros, J.: Sensor networks: An overview, in Learning from Data Streams: Processing Techniques in Sensor Networks, pp. 9–24 (2007). http://www.cs.bme.hu/nagyadat/Learning_from_data_streams.pdf#page=17
Zarmehri, M.N., Aguiar, A.: Data gathering for sensing applications in vehicular networks. In: 2011 IEEE Vehicular Networking Conference, pp. 139–156 (2011)
Tomaš, B.: WiFi roaming access point optimum assignment in urban multi-sensor networks. Research papers Faculty of Materials Science and Technology Slovak University of Technology in Trnava 21, 109–115 (2013)
Rodrigues, J.G.P., Aguiar, A., Vieira, F., Barros, J., Cunha, J.P.S.: A mobile sensing architecture for massive urban scanning. In: IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, pp. 1132–1137 (2011)
Kaminsky, A.: Trilateration. Comput. Aided Des. 13(4), 8–11 (1981)
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© 2015 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Tomaš, B., Vrček, N. (2015). Smart City Vehicular Mobile Sensor Network. In: Giaffreda, R., Cagáňová, D., Li, Y., Riggio, R., Voisard, A. (eds) Internet of Things. IoT Infrastructures. IoT360 2014. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 151. Springer, Cham. https://doi.org/10.1007/978-3-319-19743-2_11
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DOI: https://doi.org/10.1007/978-3-319-19743-2_11
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