基于温度空间分布的传感节点部署最优化研究

Research on the spatial distribution of indoor temperaturewith limited number of sensors

摘要:

现代人类滞留室内时间超过生命周期的90%,温度是影响室内环境舒适度的一个重要指标,对滞留人员的身体健康和工作效率有着很大影响。敷设无线传感器网络实时获取室内温度是一种有效、可靠的方法,但是传感节点的部署问题一直是研究的热点和难点。针对室内复杂环境下传感节点随机布置可能导致的初始化偏差问题,提出了一种基于温度空间分布规律的传感节点部署方法,以流体力学仿真结果为依据,结合节点测量数据,动态预测节点放置位置。实测结果表明,在保证精确度以及区域测量全覆盖的前提下,方法获取最少节点数量及其部署位置。结果可以为温度传感节点的初始化敷设提供理论依据,也可以为其他物理量的测量提供方法。

Abstract:

Research shows that modern people spend more than 90% of their lifetime indoors. As a consequence, indoor environment comfort plays an important part at the occupants’ body health and working efficiency. Temperature is of great significance in the aspect of the measurement of indoor comfort. Nevertheless, the initial deployment of sensing nodes is complicated due to the limited coverage area of sensors. A sensing node deployment method is proposed in this paper, using analysis of results from computational fluid dynamics, to reduce the impact of positioning bias. Experiment results show that the proposed algorithm is able to measure temperature change with limited node number while maintaining certain level of accuracy. Our approach is able to provide a benchmark for the deployment of sensing nodes and it can also lay foundation for parameters measurement in other areas.