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Flexible resource assignment in sensor networks: a hybrid reasoning approach

de Mel, G., Sensoy, M., Vasconcelos, W. and Preece, Alun David ORCID: https://orcid.org/0000-0003-0349-9057 2009. Flexible resource assignment in sensor networks: a hybrid reasoning approach. Presented at: 1st SemSensWeb2009 Workshop on the Semantic Sensor Web, Heraklion, Crete, 1 June 2009. Published in: Corcho, Oscar, Hauswirth, Manfred and Koubarakis, Manolis eds. Proceedings of the 1st SemSensWeb2009 Workshop on the Semantic Sensor Web, Collocated with ESWC 2009, Heraklion, Greece, 1 June 2009. CEUR Workshop Proceedings , vol.468 Sun SITE Central Europe,

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Abstract

Today, sensing resources3 are the most valuable assets of critical tasks (e.g., border monitoring). Although, there are various types of assets available, each with different capabilities, only a subset of these assets is useful for a specific task. This is due to the varying information needs of tasks. This gives rise to assigning useful assets to tasks such that the assets fully cover the information requirements of the individual tasks. The importance of this is amplified in the intelligence, surveillance, and reconnaissance (ISR) domain, especially in a coalition context. This is due to a variety of reasons such as the dynamic nature of the environment, scarcity of assets, high demand placed on available assets, sharing of assets among coalition parties, and so on. A significant amount of research been done by different communities to efficiently assign assets to tasks and deliver information to the end user. However, there is little work done to infer sound alternative means to satisfy the information requirements of tasks so that the satisfiable tasks are increased. In this paper, we propose a hybrid reasoning approach (viz., a combination of rule-based and ontology-based reasoning) based on current Semantic Web4 technologies to infer assets types that are necessary and sufficient to satisfy the requirements of tasks in a flexible manner.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Uncontrolled Keywords: Sensors, Platforms, Resource Assignment, Semantic Web, Rules, Hybrid Reasoning
Additional Information: CEUR Workshop Proceedings (CEUR-WS.org) is a publication service of Sun SITE Central Europe operated under the umbrella of RWTH Aachen University with the support of Tilburg University. CEUR-WS.org is a recognized ISSN publication series, ISSN 1613-0073. http://ceur-ws.org/
Publisher: Sun SITE Central Europe
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Last Modified: 19 Oct 2022 09:08
URI: https://orca.cardiff.ac.uk/id/eprint/20110

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