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Ranking of Information Sources Based on a Randomised Aggregated Indices Method for Delay-Tolerant Networks

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Information Fusion and Intelligent Geographic Information Systems (IF&IGIS'17)

Part of the book series: Lecture Notes in Geoinformation and Cartography ((LNGC))

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Abstract

INFORMATION for various monitoring systems usually comes from heterogeneous sources such as AIS, radars, Internet, etc. However, not all sources can be considered equally reliable; furthermore, the quality of transmitted data also differs. It has been deemed necessary to solve the problem of ranking sources according to their credibility based on expert information and a randomised aggregated indices method (RIAM).

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References

  1. Angeles M, MacKinnon L (2010) Assessing data quality of integrated data by quality aggregation of its ancestors. Comput Sist 13:331–344

    Google Scholar 

  2. Canini K et al (2011) Finding credible information sources in social networks based on content and social structure. In: Proceedings of the IEEE international conference on privacy, security, risk, and trust

    Google Scholar 

  3. Chen Y et al (1998) Query processing with quality control in the World Wide Web. World Wide Web 1:241–255

    Article  Google Scholar 

  4. Naumann F (2002) Quality-driven query answering for integrated information systems. Lecture notes in computer science, vol 2261, Springer, Berlin. p 168

    Google Scholar 

  5. Naumann F et al (1999) Quality-driven integration of heterogeneous information systems. In: Proceedings of the 25th VLDB conference, Scotland

    Google Scholar 

  6. Hovanov NV (1986) Stochastic models in qualimetric scales theory. Leningrad State University Press, Leningrad, USSR (in Russian)

    Google Scholar 

  7. Warthman F, Delay- and disruption-tolerant networks (DTNs): a tutorial/electronic resource: http://ipnsig.org/wp-content/uploads/2012/07/DTN_Tutorial_v2.05.pdf

  8. Cerf V et al (2007) Delay-tolerant networking architecture. In: The IETF Trust. Electronic resource: https://tools.ietf.org/html/rfc4838

  9. Jenkins A et al (2010) Delay/disruption-tolerant networking: flight test results from the international space station. In: Proceedings of the IEEE aerospace conference

    Google Scholar 

  10. Popovich V (2012) Hybrid networks for heterogeneous distributed maritime observation systems. In: Proceedings of the IEEE 1st AESS European conference on satellite telecommunications, pp 30–36

    Google Scholar 

  11. Hovanov NV, Analysis and synthesis of indices in information shortage conditions. St. Petersburg State University Press, Russia (in Russian)

    Google Scholar 

  12. Hovanov N‚ (2009) Multicriteria estimation of probabilities on basis of expert non-numeric, non-exact and non-complete knowledge. Yudaeva M‚ Hovanov N‚ (eds) Eur J Oper Res 195:857–863

    Google Scholar 

  13. Hovanov NV (2010) Prognosis of characteristics of financial and economics factors based on expert and statistical information synthesis. In: Proceedings of 10-th International Science School “Modelling and analysis of safety and risk in complex systems”, pp. 114–122 (in Russian)

    Google Scholar 

  14. Hovanov N (2012) Stochastic quantification of non-numeric measurement scales: theory and application. In: Hovanov N (ed) International seminar “mathematics, statistics, and computation to support measurement quality”, pp 28–31

    Google Scholar 

  15. Vladyko V et al (2013) Application of aggregated indices randomization method for prognosing the consumer demand on features of mobile navigation applications. In: Information technologies and telecommunications, no 4, The Bonch-Bruevich St. Petersburg State University of Telecommunications (in Russian)

    Google Scholar 

  16. Zhang W (2004) Handover decision using fuzzy MADM in heterogeneous networks. In: Proceedings of the IEEE Communications Society, WCNC, pp 653–658

    Google Scholar 

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Correspondence to Oksana Smirnova .

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Smirnova, O., Popovich, T. (2018). Ranking of Information Sources Based on a Randomised Aggregated Indices Method for Delay-Tolerant Networks. In: Popovich, V., Schrenk, M., Thill, JC., Claramunt, C., Wang, T. (eds) Information Fusion and Intelligent Geographic Information Systems (IF&IGIS'17). Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-59539-9_7

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