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Many organizations depend on critical sensory information to achieve their tasks. As the number of those tasks increase, efficient determination and allocation of required resources in sensor networks become crucial. In this paper, the authors propose means to describe tasks semantically with their requirements and constraints so that software agents can reason about those tasks and determine what type of sensor resources they may need. Based on the semantic description and reasoning mechanisms, they propose a distributed agent-based approach to efficiently allocate sensor resources to tasks.
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