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Edge-based interoperable service-driven information distribution for intelligent pervasive services
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Number of Authors: 4
2017 (English)In: Pervasive and Mobile Computing, ISSN 1574-1192, E-ISSN 1873-1589, Vol. 40, 359-381 p.Article in journal (Refereed) Published
Abstract [en]

Internet of Things (IoT)-based Intelligent Pervasive Service (IPS) systems face increasing pressure from the massive amounts of heterogeneous data generated; the heterogeneity hinders interoperability between data resources and IPSs, making data sharing inefficient and making it difficult to satisfy the needs and fulfill requirements of the IPSs. In response, this article proposes a method of interoperable service-driven information distribution on the edge side to enhance the service-level interoperability with feature-level interoperability by self-adapting data sharing according to the service needs, which will also help to release incremental data pressure and provide better data privacy by conducting service-driven and relevance-based data sharing.

Place, publisher, year, edition, pages
2017. Vol. 40, 359-381 p.
Keyword [en]
Pervasive sensing, Interoperability, Service-driven, IoT Edge-centric, Self-adaptable information distribution
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:su:diva-147871DOI: 10.1016/j.pmcj.2017.07.002ISI: 000410822300020OAI: oai:DiVA.org:su-147871DiVA: diva2:1152902
Available from: 2017-10-26 Created: 2017-10-26 Last updated: 2018-01-13Bibliographically approved

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