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In factory automation where reliable low-delay communication is essential to maintain the required Quality of Service (QoS), efficient medium access schemes play quite an important role. Therefore we propose a centralized cognitive medium access method that utilizes prediction of whitespaces to avoid collisions as well as improve utilization of transmission opportunities. Our simulation results show...
In order to cope with system complexity and dynamic environments, modern industries are investing in a variety of sensor networks and data acquisition systems to increase information visibility. Multi-sensor systems bring the proliferation of high-dimensional functional profiles that capture rich information on the evolving dynamics of natural and engineered processes. This provides an unprecedented...
Compressive sensing (CS) is an emerging model-based framework for signal recovery at a rate significantly below the Nyquist sampling rate. The CS theory states that a signal having a sparse representation in some bases can be reconstructed from a small set of random projections. In this paper, a reconstruction method is developed based on block CS and adaptive choice of frame expansions according...
In wireless sensor networks, object tracking is one of the important topics in research of wireless sensor networks. However, the core technology of object tracking is the positioning technique. In recent years, many positioning methods have been proposed. The main purpose of this paper is to achieve an object tracking mechanism with low complexity of computation and low cost based on various constraints...
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