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In wireless sensor networks, most of existing data aggregation scheduling methods try to aggregate the data from all the nodes at all time-instances. It is neither energy efficient nor practical because of the link unreliability and spatio-temporal data correlation. This paper proposes a lossy data aggregation scheme to allow estimated aggregation at the root by selectively letting some nodes sample...
In wireless sensor networks, in-network data aggregation is an efficient way to reduce energy consumption in network. However, most of the existing data aggregation scheduling methods try to aggregate the data from all the nodes at all time-instances. It is neither energy efficient nor practical because of the link unreliability and spatial and temporal data correlations. In this paper, we propose...
Embedded systems, because of their application-specific characteristic, are one of the most widely used domains for reconfigurable systems. Aiming at the energy-saving problem, this paper presents a dynamic scheduling architecture. The contribution of this paper is twofold: First, this paper presents an Energy-efficient Architecture for Embedded Software (EAES), which uses a processor with dynamic...
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