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Proceedings Paper

Service-oriented reasoning architecture for resource-task assignment in sensor networks
Author(s): Geeth de Mel; Flavio Bergamaschi; Tien Pham; Wamberto Vasconcelos; Tim Norman
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Paper Abstract

The net-centric ISR/ISTAR networks are expected to play a crucial role in the success of critical tasks such as base perimeter protection, border patrol and so on. To accomplish these tasks in an effective and expedient manner, it is important that these networks have the embedded capabilities to discover, delegate, and gather relevant information in a timely and robust manner. In this paper, we present a system architecture and an implementation that combines a service based reasoning mechanism with a sensor middleware infrastructure so that tasks can be executed efficiently and effectively. A knowledge base, utilising the Semantic Web technologies, provides the foundation for reasoning mechanism that assists users to discover, identify and allocate resources that are made available through the middleware, in order to satisfy the needs of tasks. Once resources are allocated to any given task, they can be accessed, controlled, shared, and their data feeds consumed through the Fabric middleware. We use the semantic descriptions from the knowledge base to annotate the resources (types, capabilities, etc.) in the sensor middleware so that they can be retrieved for reasoning during the discovery and identification phases. The reasoner is implemented as a HTTP web service, with the following characteristics: 1. Computational intensive operations are off-loaded to dedicated nodes, preserving the resources in the ISR/ISTAR networks. 2. HTTP services are accessible through a standard set of APIs irrespective of the reasoner technology used. 3. Support for seamless integration of different reasoners into the system.

Paper Details

Date Published: 23 May 2011
PDF: 12 pages
Proc. SPIE 8047, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR II, 80470X (23 May 2011); doi: 10.1117/12.885476
Show Author Affiliations
Geeth de Mel, Univ. of Aberdeen (United Kingdom)
Flavio Bergamaschi, IBM United Kingdom Ltd. (United Kingdom)
Tien Pham, U.S. Army Research Lab. (United States)
Wamberto Vasconcelos, Univ. of Aberdeen (United Kingdom)
Tim Norman, Univ. of Aberdeen (United Kingdom)


Published in SPIE Proceedings Vol. 8047:
Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR II
Michael A. Kolodny; Tien Pham; Kevin L. Priddy, Editor(s)

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