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Adaptive Video-Data Quality Control for Solar-Energy-Harvesting Wireless Sensor Networks
Abstract
Since solar energy can be harvested periodically, using solar power in wireless sensor networks (WSNs) requires a different approach to energy consumption from typical battery-based WSNs. Meanwhile, it is also challenging to supply enough energy required for heavy operations such as video data encoding and transferring in battery-based WSNs. Therefore, we address the problem of determining the quality of encoding sensory data on the solarpowered sensor node. Based on a simple energy model of the solar-powered node, proposed scheme controls the quality of encoding data adaptively in the way of using the harvested energy maximally. Experimental results demonstrate the efficiency of our scheme.
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