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In this paper, we focus on the prediction method of building energy consumption time series. The building energy consumption data can be regarded as a time series, which is usually nonlinear and non-stationary. Traditional time series analysis model has lower prediction accuracy. Then the machine learning method, especially support vector regression algorithm always has better performance to deal...
Financial and environmental considerations provide new trends in wireless communication network known as green communication. The main object of green communication is to save energy consumption of the communication system as much as possible with users' quality of service (QoS) guaranteed. In this paper, cooperative spectrum sharing is investigated as a means of energy saving. We present an optimal...
Object tracking is one of the most important applications of WSNs, especially for military usage. Sensor nodes should collect information about intruders and sound alarms to military in good time. Previous protocols suffer from flooding based method or focus on tree-based approaches. We proposed a quorum based protocol that is suitable for multi-sink and multi-object tracking applications. Simulation...
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