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The Integration, Analysis and Visualization of Sensor Data from Dispersed Wireless Sensor Network Systems Using the SWE Framework

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Wireless Sensor Networks (WSNs) have been used in numerous applications to remotely gather real-time data on important environmental parameters. There are several projects where WSNs are deployed in different locations and operate independently. Each deployment has its own models, encodings, and services for sensor data, and are integrated with different types of visualization/analysis tools based on individual project requirements. This makes it dicult to reuse these services for other WSN applications. A user/system is impeded by having to learn the models, encodings, and services of each system, and also must integrate/interoperate data from different data sources. Sensor Web Enablement (SWE) provides a set of standards (web service interfaces and data encoding/model specications) to make sensor data publicly available on the web. This paper describes how the SWE framework can be extended to integrate disparate WSN systems and to support standardized access to sensor data. The proposed system also introduces a web-based data visualization and statistical analysis service for data stored in the Sensor Observation Service (SOS) by integrating open source technologies. A performance analysis is presented to show that the additional features have minimal impact on the system. Also some lessons learned through implementing SWE are discussed.
Rocznik
Tom
Strony
86--97
Opis fizyczny
Bibliogr. 22 poz., rys.
Twórcy
autor
  • eResearch Centre, James Cook University, Townsville, Australia
autor
  • School of Information and Communication Technology Griffith University, Brisbane, Australia
autor
  • eResearch Centre, James Cook University, Townsville, Australia
autor
  • School of Engineering and Physical Sciences, James Cook University, Townsville, Australia
Bibliografia
  • [1] F. L. Lewis, „Wireless sensor networks", in Smart Environments: Technology, Protocols and Applications, D. Cook and S. Das, Eds. New York: Wiley, 2004, pp. 11-46.
  • [2] C. Srimathi, C. Eunmi, H. A. Jemal, and N. Rajesh, „Sensor grid middleware metamodeling and analysis", Int. J. Distrib. Sensor Netw., pp. 1-12, 2014.
  • [3] M. Botts, G. Percivall, C. Reed, and J. Davidson, „OGC Sensor Web Enablement: Overview and High Level Architecture", in GeoSensor Networks - 2nd Int. Conf. GSN 2006, Boston, MA, USA, S. Nittel, A. Labrinidis, and A. Stefanidis, Eds. LNCS, vol. 4540, pp. 175-190. Springer, 2008.
  • [4] M. Botts and A. Robin, „Bringing the sensor web together", Geo- sciences, pp. 46-53, 2007.
  • [5] K. Delin and S. Jackson, „The sensor web: a new instrument concept", in SPIE's Symposium on Integrated Optics, San Jose, CA, USA, 2001.
  • [6] K. Delin, „Sensor webs in the wild", in Wireless Sensor Networks: A Systems Perspective, N. Bulusu and S. Jha, Eds. London: Artech House, 2005.
  • [7] P. Gibbons, „Irisnet: An architecture for a worldwide sensor web", IEEE Pervasive Comput., vol. 2, no. 4, pp. 22-33, 2003.
  • [8] N. Markovic, A. Stanimirovic, and L. Stoimenov, „Sensor web for river water pollution monitoring and alert system", in Proc. 12th AGILE Int. Conf. on Geographic Inform. Sci. AGILE 2009, Hannover, Germany, 2009.
  • [9] D. Moodley and S. Ingo, „A new architecture for the sensor web: the SWAP framework", in Semantic Sensor Netw. Worksh. A workshop of the 5th Int. Semantic Web Conf. ISWC 2006, Athens, Georgia, USA, 2006.
  • [10] E. Torres-Martinez, P. Granville, M. Schoeberl, and M. Kalb, „A web of sensors: enabling the earth science vision", Acta Astronautica, vol. 53, no. 4-10, pp. 423-428, 2003.
  • [11] S. Schade et al., „Citizen-based sensing of crisis events: sensor web enablement for volunteered geographic information", Appl. Geomat., vol. 5, no. 1, pp. 3-18, 2013.
  • [12] S. Shafi, A. A. Reshi and A. Kumaravel, „Wireless sensor network based early warning and alert system for radioactive radiation leakage", Middle-East J. Scient. Res., vol. 19, no. 12, pp. 1602-1608, 2014.
  • [13] S. M. Guru, P. Taylor, H. Neuhaus, Y. Shu, D. Smith, and A. Terhorst, „Hydrological sensor web for the South Esk catchment in the Tasmanian state of Australia", in Proc. 4th Int. Conf. on eScience, eScience'08, Indianapolis, IN, USA, 2008, pp. 432-433.
  • [14] C. Hu, Q. Guan, N. Chen, J. Li, X. Zhong, and Y. Han, „An observation capability metadata model for EO sensor discovery in sensor web enablement environments", Remote Sens, vol. 6, no. 11, pp. 10546-10570, 2014.
  • [15] S. Back, S. B. Kranzer, T. J. Heistracher, and T. J. Lampoltshammer, „Bridging SCADA systems and GI systems", in Proc. IEEE World Forum on Internet of Things WF-IoT 2014, Seoul, Korea (South), 2014, pp. 41-44.
  • [16] G. E. Churcher, G. Bilchev, J. Foley, R. Gedge, and T. Mizutani, „Experiences applying sensor web enablement to a practical telecare application", in Proc. 3rd Int. Symp. on Wirel. Pervasive Comput. ISWPC 2008, Santorini, Greece, 2008, pp. 138-142.
  • [17] G. E. Churcher and J. Foley, „Applying and extending sensor web enablement to a telecare sensor network architecture", in Proc. 4th International ICST Conf. on COMmun. Syst. softWAre and middlewaRE, Dublin, Ireland, 2009, p. 6, 2009.
  • [18] K. B. Lee and M. Reichardt, „Open standards for homeland security sensor networks", Instrument. & Measur. Mag., vol. 8, no. 5, pp. 14-21, 2005.
  • [19] F. Samadzadegan, H. Zahmatkesh, M. Saber, and H. J. Ghazi khanlou, „An interoperable architecture for air pollution early warning system based on sensor web", ISPRS - Int. Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. 1, no. 3, pp. 459-462, 2013.
  • [20] J. Trevathan, R. Johnstone, T. Chi_ngs, I. Atkinson, N. Bergmann, W. Read, S. Theiss, and T. Stevens, „SEMAT - The next generation of inexpensive marine environmental monitoring and measurement systems", Sensors, vol. 12, no. 7, pp. 9711-9748, 2012.
  • [21] Y. J. Lee, J. Trevathan, I. Atkinson, W. Read, and R. Johnstone, „The evolution of the SEMAT sensor network management system", in Proc. 7th Int. Conf. on Intell. Sensors, Sensor Netw. and Inform. Process. ISSNIP 2011, Adelaide, Australia, 2011, pp. 229-234.
  • [22] C. A. Henson, J. K. Pschorr, A. P. Sheth, and K. Thirunarayan, „SemSOS: Semantic Sensor Observation Service", in Int. Symp. On Collabor. Technol. and Syst., Baltimore, MA, USA, 2009.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-f7356edd-2dde-4c56-931f-61e62fa5b697
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