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In networked embedded sensor systems, data fusion is a viable solution to significantly reduce energy consumption while achieving real-time guarantee. Emerging data fusion applications demand efficient task allocation and scheduling techniques. However, existing approaches can not be effectively applied concerning both network topology and wireless communications. In this paper, we formally model...
In this paper, we develop a novel real-time instruction-level loop scheduling technique to reduce leakage energy consumption for applications with loops on VLIW architecture. We first prove that the scheduling problem with the minimum leakage energy consumption within a timing constraint is NP-complete. Then, LEMLS (leakage energy minimization loop scheduling) algorithm is designed to repeatedly regroup...
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