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A Testbed Evaluation for an Indoor Temperature Monitoring System in Smart Homes

机译:智能家居室内温度监控系统的测试平台评估

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This paper reports an experimental study to design a temperature monitoring system which helps people maintain a good level of quality of life (QoL) and manage the energy resources more efficiently. An ambient assisted living system for adjusting the temperature is designed and implemented using Sun Spot Zigbee nodes. The key challenge for the proliferation of WSNs is scarce energy. Hence energy-efficient solutions are required in all aspects of WSN design. In this paper, we implement and evaluate a threshold based monitoring method for temperature sensing to reduce energy consumption of the sensor nodes to increase the lifetime of the monitoring system. We report realistic evaluation results of threshold based method and compared the performance with respect to energy consumption and accuracy with the stream-based method. Our results suggest that the threshold-based method reduces the number of transmitted packet by more than 90% in our home-based scenario while preserving the accuracy to %97.17.
机译:本文报告了设计一种设计温度监测系统的实验研究,这有助于人们保持良好的寿命水平(QOL),更有效地管理能源资源。使用Sun Spot ZigBee节点设计和实现用于调节温度的环境辅助生活系统。 WSN扩散的关键挑战是稀缺的能量。因此,在WSN设计的所有方面都需要节能解决方案。在本文中,我们实施并评估了基于阈值的温度感测的监测方法,以减少传感器节点的能量消耗以增加监控系统的寿命。我们报告了基于阈值的方法的现实评估结果,并通过基于流的方法对能量消耗和精度进行了比较了性能。我们的结果表明,基于阈值的方法在我们基于家庭的场景中将传输的数据包数量减少了90%以上,同时保留了%97.17的准确性。

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