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Toward Self-monitoring Smart Cities: the OpenSense2 Approach

  • HAUPTBEITRAG
  • TOWARD SELF-MONITORING SMART CITIES
  • Published:
Informatik-Spektrum Aims and scope

Abstract

The sustained growth of urban settlements in the last years has had an inherent impact on the environment and the quality of life of their inhabitants. In order to support sustainability and improve quality of life in this context, we advocate the fostering of ICT-empowered initiatives that allow citizens to self-monitor their environment and assess the quality of the resources in their surroundings. More concretely, we present the case of such a self-monitoring Smart City platform for estimating the air quality in urban environments at high resolution and large scale. Our approach is a combination of mobile and human sensing that exploits both dedicated and participatory monitoring. We identify the main challenges in such a crowdsensing scenario for Smart Cities, and in particular we analyze issues related to scalability, accuracy, accessibility, privacy, and discoverability, among others. Moreover, we show that our approach has the potential to empower citizens to diagnose their environment using mobile and portable sensing devices, combining their personal data with a public higher accuracy air quality network.

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References

  1. Aberer K, Hauswirth M, Salehi A (2006) A Middleware for Fast and Flexible Sensor Network Deployment. In: Proc. 32nd International Conference on Very Large Data Bases VLDB. VLDB Endowment, pp 1199–1202

  2. Bagnasco A et al. (2000) Cities in Contemporary Europe. Cambridge University Press

  3. Berners-Lee T, Bizer C, Heath T (2009) Linked data – the story so far. IJSWIS 5(3):1–22

  4. Buchli B, Yuecel M, Lim R, Gsell T, Beutel J (2011) Demo Abstract: Feature-rich Platform for WSN Design Space Exploration. In: 10th International Conference on Information Processing in Sensor Networks (IPSN). IEEE, pp 115–116

  5. Burke LE, Styn MA, Glanz K, Ewing LJ, Elci OU, Conroy MB, Sereika SM, Acharya SD, Music E, Keating AL et al. (2009) Smart trial: a randomized clinical trial of self-monitoring in behavioral weight management-design and baseline findings. Contemp Clin Trials 30(6):540–551

  6. Calbimonte J-P, Eberle J, Aberer K (2015) Semantic Data Layers in Air Quality Monitoring for Smarter Cities. In: In Proc. of the 6th Workshop on Semantics for Smarter Cities S4SC 2015, at ISWC

  7. Calbimonte J-P, Sarni S, Eberle J, Aberer K (2014) Xgsn: an Open-source Semantic Sensing Middleware for The Web of Things. In: Proc. of the 7th International Workshop on Semantic Sensor Networks

  8. Caragliu A, Del Bo C, Nijkamp P (2011) Smart cities in europe. J Urban Technol 18(2):65–82

  9. Eberle J, Calbimonte J-P, Aberer K (2015) Efficiently Gathering Contextual Information for Health Studies. http://www.nano-tera.ch/pdf/posters2015/OpenSense252.pdf. Last access: Aug 2016

  10. Elen B, Peters J, Van Poppel M, Bleux N, Theunis J, Reggente M, Standaert A (2012) The aeroflex: A bicycle for mobile air quality measurements. Sensors 13(1):221–240

  11. Elen B, Theunis J, Ingarra S, Molino A, Van den Bossche J, Reggente M, Loreto V (2012) The Everyaware Sensorbox: A Tool for Community-Based Air Quality Monitoring. Sensing a Changing World

  12. Filipponi L, Vitaletti A, Landi G, Memeo V, Laura G, Pucci P (2010) Smart City: An Event Driven Architecture for Monitoring Public Spaces with Heterogeneous Sensors. In: 2010 Fourth International Conference on Sensor Technologies and Applications (SENSORCOMM). IEEE, pp 281–286

  13. Gray AJG, Sadler J, Kit O, Kyzirakos K, Karpathiotakis M, Calbimonte J-P, Page K, García-Castro R, Frazer A, Galpin I et al (2011) A semantic sensor web for environmental decision support applications. Sensors 11(9):8855–8887

  14. Hasenfratz D, Saukh O, Sturzenegger S, Thiele L (2012) Participatory Air Pollution Monitoring Using Smartphones. In: Proceedings of the 2nd International Workshop on Mobile Sensing (in conjunction with ACM/IEEE IPSN). Beijing, China, April 2012

  15. Hedgecock W, Völgyesi P, Ledeczi A, Koutsoukos X, Aldroubi A, Szalay A, Terzis A (2010) Mobile Air Pollution Monitoring Network. In: Proceedings of the 2010 ACM Symposium on Applied Computing. ACM, pp 795–796

  16. Koubarakis M, Sioutis M, Garbis G, Karpathiotakis M, Kyzirakos K, Nikolaou C, Bereta K, Vassos S, Dumitru CO, Espinoza-Molina D et al (2012) Building Virtual Earth Observatories Using Ontologies, Linked Geospatial Data and Knowledge Discovery Algorithms. In: On the Move to Meaningful Internet Systems: OTM 2012. Springer, pp 932–949

  17. Lupton D (2014) Self-tracking Modes: Reflexive Self-monitoring and Data Practices. Available at SSRN 2483549

  18. Nam T, Pardo TA (2011) Conceptualizing Smart City with Dimensions of Technology, People, and Institutions. In: Proceedings of the 12th Annual International Digital Government Research Conference: Digital Government Innovation in Challenging Times. ACM, pp 282–291

  19. Peters J, Van den Bossche J, Reggente M, Van Poppel M, De Baets B, Theunis J (2014) Cyclist exposure to ufp and bc on urban routes in Antwerp, Belgium. Atmos Enviro 92:31–43

  20. Radanovic G, Faltings B (2014) Incentives for Truthful Information Elicitation of Continuous Signals. In: Twenty-Eighth AAAI Conference on Artificial Intelligence

  21. Sanchez L, Muñoz L, Galache JA, Sotres P, Santana JR, Gutierrez V, Ramdhany R, Gluhak A, Krco S, Theodoridis E et al (2014) Smartsantander: Iot experimentation over a smart city testbed. Comput Networks 61:217–238

  22. Hasenfratz D, Saukh O, Walser C, Hueglin C, Fierz M, Thiele L (2014) 2014 IEEE Conference on International Pervasive Computing and Communications (PerCom), 69–77

  23. Un EC, Eberle J, Kim Y, Aberer K (2013) A model-based back-end for air quality data management. Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication. ACM, 1143–1150

  24. Sheth A, Henson C, Sahoo SS (2008) Semantic sensor web. IEEE Internet Comput 12(4):78–83

  25. Solanas A, Patsakis C, Conti M, Vlachos IS, Ramos V, Falcone F, Postolache O, Pérez-Martínez PA, Di Pietro R, Perrea DN et al (2014) Smart health: a context-aware health paradigm within smart cities. IEEE Commun Mag 52(8):74–81

  26. Tennison J, Kellogg G, Herman I (2015) Model for Tabular Data and Metadata on The Web. http://www.w3.org/TR/tabular-data-model/

  27. Tsai D-H, Guessous I, Riediker M, Paccaud F, J-M Gaspoz J-M, Theler J-M, Waeber G, Vollenweider P, and M Bochud (2015) Short-term effects of particulate matters on pulse pressure in two general population studies. J Hypertens 33(6):1144–1152

  28. Vardoulakis S, Fisher BEA, Pericleous K, Gonzalez-Flesca N (2003) Modelling air quality in street canyons: a review. Atmos Environ 37(2):155–182

  29. World Health Organization (2014) News Release. http://www.who.int/mediacentre/news/releases/2014/air-pollution/en/. Last access: May 2016

  30. Zannetti P (2013) Air Pollution Modeling: Theories, Computational Methods and Available Software. Springer Science &Business Media

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Authors and Affiliations

  1. Institute of Information Systems, HES-SO Valais-Wallis, Techno Pole 3, 3960, Sierre, Switzerland

    Jean-Paul Calbimonte

  2. Distributed Information Systems Laboratory, EPFL, EPFL Station 14, 1015, Lausanne, Switzerland

    Jean-Paul Calbimonte, Julien Eberle & Karl Aberer

Authors
  1. Jean-Paul Calbimonte
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  2. Julien Eberle
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  3. Karl Aberer
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Correspondence to Jean-Paul Calbimonte.

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Calbimonte, JP., Eberle, J. & Aberer, K. Toward Self-monitoring Smart Cities: the OpenSense2 Approach. Informatik Spektrum 40, 75–87 (2017). https://doi.org/10.1007/s00287-016-1009-y

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  • DOI: https://doi.org/10.1007/s00287-016-1009-y

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