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Reasoning and Resource Allocation for Sensor-Mission Assignment in a Coalition Context

Preece, Alun David ORCID:, Pizzocaro, Diego ORCID:, Borowiecki, Konrad, de Mel, Geeth, Gomez, M., Vasconcelos, Wamberto W., Bar-noy, Amotz, Johnson, Matthew P., La Porta, Thomas, Rowaihy, Hosan, Pearson, G. and Pham, T. 2008. Reasoning and Resource Allocation for Sensor-Mission Assignment in a Coalition Context. Presented at: Military Communications Conference, 2008. MILCOM 2008. IEEE, San Diego, CA, 16-19 Nov. 2008. pp. 1-7. 10.1109/MILCOM.2008.4753114

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Abstract—We consider the problem of sensor-mission assignment as that of allocating a collection of intelligence, surveillance and reconnaisance (ISR) assets (including sensors and sensor platforms) to a set of mission tasks in an attempt to satisfy the ISR requirements of those tasks. This problem is exacerbated in a coalition context because the full range of possible ISR solutions is not easy to obtain at-a-glance. Moreover, the operational environment is highly dynamic, with frequent changes in ISR requirements and availability of assets. In this paper we describe a solution for the sensor-mission assignment problem that aims to maximize agility in sensor-mission assignment, while preserving robustness. The search space of potential solutions is reduced by employing a semantic reasoner to work out the types of sensor and platform bundles suitable for a given set of ISR tasks. Then, an efficient resource allocation algorithm is used

Item Type: Conference or Workshop Item (Paper)
Status: Published
Schools: Computer Science & Informatics
Additional Information: ISBN 9781424426768
Last Modified: 11 Jun 2023 01:18

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