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From Earthquake Detection to Traffic Surveillance – About Information and Communication Infrastructures for Smart Cities

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Part of the Lecture Notes in Computer Science book series (LNPSE,volume 7744)

Abstract

Smart cities use networks of sensors, actuators, and centralized computing clusters to observe physical reality, derive information, and thereby influence citizens and authorities. Smart city applications therefore require three components to work: wireless sensor networks, geo-information systems, and frameworks for distributed analysis of sensor and geo-data. In this paper, we provide an overview on a set of concrete technologies for such information and communication infrastructures for smart cities. These technologies include a combination of WiFi- and PAN-based sensor networks, City GML data, a model-driven approach to collect and manage data, as well as distributed data analysis based on domain specific languages. We show how we use these technologies to research two typical smart city applications: earthquake early warning and traffic surveillance.

Keywords

  • Sensor Node
  • Wireless Sensor Network
  • Multiple Input Multiple Output
  • Smart City
  • Mesh Router

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Fischer, J. et al. (2013). From Earthquake Detection to Traffic Surveillance – About Information and Communication Infrastructures for Smart Cities. In: Haugen, Ø., Reed, R., Gotzhein, R. (eds) System Analysis and Modeling: Theory and Practice. SAM 2012. Lecture Notes in Computer Science, vol 7744. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36757-1_8

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  • DOI: https://doi.org/10.1007/978-3-642-36757-1_8

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