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1

ETSI Topografía, Geodesia y Cartografía. Technical University of Madrid, Campus Sur UPM, Autovía de Valencia Km 7,5, E-28031 Madrid, Spain

2

Wageningen UR, Centre for Geo Information, Droevendaalsesteeg 3, 6708 PB, Wageningen, The Netherlands





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Abstract Wireless Sensor Networks WSNs produce changes of status that are frequent, dynamic and unpredictable, and cannot be represented using a linear cause-effect approach. Consequently, a new approach is needed to handle these changes in order to support dynamic interoperability. Our approach is to introduce the notion of context as an explicit representation of changes of a WSN status inferred from metadata elements, which in turn, leads towards a decision-making process about how to maintain dynamic interoperability. This paper describes the developed context model to represent and reason over different WSN status based on four types of contexts, which have been identified as sensing, node, network and organisational contexts. The reasoning has been addressed by developing contextualising and bridges rules. As a result, we were able to demonstrate how contextualising rules have been used to reason on changes of WSN status as a first step towards maintaining dynamic interoperability. View Full-Text

Keywords: metadata; context model; contextualising rules; bridge rules; dynamic interoperability; wireless sensor network metadata; context model; contextualising rules; bridge rules; dynamic interoperability; wireless sensor network





Author: Daniela Ballari 1,* , Monica Wachowicz 1, 2 and Miguel Angel Manso Callejo 1

Source: http://mdpi.com/



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