Intelligent Resource Selection For Sensor-Task Assignment: A Knowledge Based Approach

Geeth Ranmal De Mel, Wamberto Weber Vasconcelos, Timothy J Norman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Sensing resources play a crucial role in the success of critical tasks such as surveillance. Therefore, it is important to assigning appropriate sensing resources to tasks such that the selected resources fully cater the needs of the tasks. However, selecting the right resources to tasks is a computationally hard problem to solve. Most of the existing approaches address the efficiency aspect of the resource selection by considering the physical aspects of the sensor network (e.g., range, power, etc.) but have ignored important domain related properties such as capabilities of assets, environmental conditions, policies and so on which makes the selection effective. In this paper we present a knowledge rich mechanism to intelligently select resources for tasks such that the selected resources sufficiently cover the needs of the tasks. Ontologies are used to capture the crucial domain knowledge and semantic matchmaking is used to perform sensor-task matching. A combination of ontological and first-order-logic reasoning is considered for the solution architecture.
Original languageEnglish
Title of host publicationInternational Conference on Advanced Topics in Artificial Intelligence
PublisherGlobal Science and Technology Forum
Publication statusPublished - Nov 2010
EventInternational Conference on Advanced Topics in Artificial Intelligence - Phuket, Thailand
Duration: 29 Nov 201030 Nov 2010

Conference

ConferenceInternational Conference on Advanced Topics in Artificial Intelligence
CountryThailand
CityPhuket
Period29/11/1030/11/10

Keywords

  • sensors
  • platforms
  • knowledge representation
  • reasoning
  • semantic matchmaking
  • resource assignment

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  • Cite this

    De Mel, G. R., Vasconcelos, W. W., & Norman, T. J. (2010). Intelligent Resource Selection For Sensor-Task Assignment: A Knowledge Based Approach. In International Conference on Advanced Topics in Artificial Intelligence Global Science and Technology Forum.