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A Case Study of Participatory Data Transfer for Urban Temperature Monitoring

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6574))

Abstract

The sensing systems that monitor physical environments rely on communication infrastructures (wired or wireless) to collect data from the sensors embedded in the environment. However, in many urban environments pre-existing communication infrastructures are not available, and installing new infrastructures is unjustifiably expensive and/or technically infeasible. For such environments, we envision Participatory Data Transfer (PDT) as an alternative communication medium that leverages users participation for data transfer. With PDT, users use mobile devices to receive data from sensors, and forward the sensed data through the ad hoc network of the mobile devices until the data is received by the data aggregators (i.e., data sinks). Sensor deployment and ad hoc routing/networking are two related problems that are both extensively studied in the literature. However, to enable efficient deployment of PDT for sensing applications one needs to consider the requirements of the two aforementioned problems in conjunction. In this paper, we present a case study of PDT with which we explore the performance of PDT-based data transfer with a sample urban sensing application, namely, an urban temperature monitoring application. Our experimental case study is by simulation based on real datasets including GPS track data for more than 2000 vehicles in the city of Beijing. We discuss our observations based on this case study which can serve as directions to design application-specific optimal PDT mechanisms.

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References

  1. http://sensorscope.epfl.ch/

  2. Handbook of wireless networks and mobile computing. John Wiley & Sons, Inc., New York (2002)

    Google Scholar 

  3. U. Center for Embedded Networked Sensing (CENS), http://urban.cens.ucla.edu/projects/

  4. Deshpande, A., Guestrin, C., Madden, S.R., Hellerstein, J.M., Hong, W.: Model-driven data acquisition in sensor networks. In: Proceedings of the Thirtieth International Conference on Very Large Data Bases, VLDB 2004, pp. 588–599. VLDB Endowment (2004)

    Google Scholar 

  5. Dhillon, S.S., Chakrabarty, K.: Sensor placement for effective coverage and surveillance in distributed sensor networks. In: Proc. of IEEE Wireless Communications and Networking Conference (2003)

    Google Scholar 

  6. Huang, C.-F., Tseng, Y.-C.: The coverage problem in a wireless sensor network. In: WSNA 2003, ACM, New York (2003)

    Google Scholar 

  7. Kashani, F.B., Shirani-Mehr, H., Pan, B., Bopp, N., Nocera, L., Shahabi, C.: Geosim: A geospatial data collection system for participatory urban texture documentation. IEEE Data Eng. Bull. (2010)

    Google Scholar 

  8. Krause, A., Rajagopal, R., Gupta, A., Guestrin, C.: Simultaneous placement and scheduling of sensors. In: IPSN 2009, Washington, DC, USA, IEEE Computer Society, Los Alamitos (2009)

    Google Scholar 

  9. Krause, A., Singh, A., Guestrin, C.: Near-optimal sensor placements in gaussian processes: Theory, efficient algorithms and empirical studies. J. Mach. Learn. Res. 9, 235–284 (2008)

    MATH  Google Scholar 

  10. Lindgren, A., Doria, A., Schelén, O.: Probabilistic routing in intermittently connected networks. SIGMOBILE Mob. Comput. Commun. Rev. (2003)

    Google Scholar 

  11. Meguerdichian, S., Koushanfar, F., Potkonjak, M., Srivastava, M.B.: Coverage problems in wireless ad-hoc sensor networks. In: IEEE INFOCOM (2001)

    Google Scholar 

  12. Mokkadem, A.: Estimation of the entropy and information of absolutely continuous random variables. IEEE Transactions on Information Theory 35(1), 193–196 (1989)

    Article  MathSciNet  MATH  Google Scholar 

  13. Ramanathan, R., Hansen, R., Basu, P., Rosales-Hain, R., Krishnan, R.: Prioritized epidemic routing for opportunistic networks. In: MobiOpp 2007, New York, NY, USA (2007)

    Google Scholar 

  14. Shirani-Mehr, H., Banaei-Kashani, F., Shahabi, C.: Efficient viewpoint selection for urban texture documentation. In: Trigoni, N., Markham, A., Nawaz, S. (eds.) GSN 2009. LNCS, vol. 5659, pp. 138–148. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  15. Shirani-Mehr, H., Kashani, F.B., Shahabi, C.: Using location based social networks for quality-aware participatory data transfer. In: GIS-LBSN (2010)

    Google Scholar 

  16. Song, L., Kotz, D.F.: Evaluating opportunistic routing protocols with large realistic contact traces. In: Proceedings of the Second ACM Workshop on Challenged Networks, CHANTS 2007, pp. 35–42. ACM, New York (2007)

    Google Scholar 

  17. Wu, C.-H., Lee, K.-C., Chung, Y.-C.: A delaunay triangulation based method for wireless sensor network deployment. Comput. Commun. (2007)

    Google Scholar 

  18. Yin, J., ElBatt, T., Yeung, G., Ryu, B., Habermas, S., Krishnan, H., Talty, T.: Performance evaluation of safety applications over dsrc vehicular ad hoc networks. In: Proceedings of the 1st ACM International Workshop on Vehicular ad Hoc Networks, VANET 2004, pp. 1–9. ACM, New York (2004)

    Google Scholar 

  19. Yu, X., Zhao, H., Zhang, L., Wu, S., Krishnamachari, B., Li, V.O.K.: Cooperative sensing and compression in vehicular sensor networks for urban monitoring. In: IEEE International Conference on Communications (2010)

    Google Scholar 

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Shirani-Mehr, H., Banaei-Kashani, F., Shahabi, C., Zhang, L. (2011). A Case Study of Participatory Data Transfer for Urban Temperature Monitoring. In: Tanaka, K., Fröhlich, P., Kim, KS. (eds) Web and Wireless Geographical Information Systems. W2GIS 2011. Lecture Notes in Computer Science, vol 6574. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19173-2_6

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  • DOI: https://doi.org/10.1007/978-3-642-19173-2_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19172-5

  • Online ISBN: 978-3-642-19173-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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