基于RSSI的无线传感器网络环境参数分析与修正方案

Distance-assistant Node Coverage Identification Model for Wireless Sensor Networks

定位技术是无线传感器网络数据采集的基础服务,而定位精度的高低在很大程度上取决于距离测量的精度。基于RSSI(接收信号强度)测距技术无须添加任何硬件设施、用较少的通信开销和较低的实现复杂度,十分适应于能量受限的无线传感器网络。通过对RSSI测距模型进行分析,并提出一种针对室内环境的参数修正方案。通过自行研发的传感器节点Ubicell上进行验证分析,实验表明,采用环境参数修正方案后,明显提高了测距的精度。

Localization is one of the basic services for data collection in wireless sensor networks.The localization accuracy to some extent depends on the accuracy of distance estimation.The advantage of employing the RSSI（ Received signal strength indications）-based distance estimation have some metric that no extra hardware and fewer communication cost and lower implementation complex which can adapt to energy-limit wireless sensor network.In this paper,we studied and analyzed RSSI-based distance estimated model,and provide a parameter calibration method which in specific to indoor environmental applications.Experience on our prototype node—Ubicell and shows that the proposed calibration method performs well in distance estimate accuracy.