Energy-Efficient Data Collection Scheme for Environmental Quality Management in Buildings

摘要: How to efficiently collect sensory data for supporting energy-efficient operation of buildings has become a great challenge, especially large-scale networks in buildings. In this paper, spatio-temporal compression-based optimized clustering scheme is proposed environmental collection the scheme, first, according establishment cluster, an adaptive dynamic cluster head selection method prolonging lifetime nodes developed. Meanwhile, further reduce energy consumption, we construct optimal quantity heads solution achieve minimum consumption. Moreover, correlations are explored sampling and transmission processes, which can decrease amount extend entire network. The provides sensing with high quality management supports building operation. Finally, simulation results show that obtains obvious advantages consumption compared other related schemes, also longer than others when it maintains reconstruction precision.