由于室内环境的复杂性,无线传感器网络WSN(Wireless Sensor Networks)室内定位的精度一直不够理想。本系统在测距定位算法和非测距定位算法的基础上,提出了基于信号强度RSSI(Received Signal Strength Indication)的指纹定位方法。该方法利用Cokriging插值算法建立定位区域的多维RSSI向量指纹,通过匹配目标节点的RSSI向量与指纹RSSI向量确定目标节点的位置范围,最后使用K-中心点聚类算法提取目标节点的实际位置。实际场景实验和仿真实验结果都表明此方法在复杂的室内环境中具有较高的定位精度。
【英文摘要】
Because of the complication of the indoor environment,the accuracy of indoor positioning has not been high in Wireless Sensor Networks(WSN).To improve the accuracy,we proposes a fingerprint positioning method based on Received Signal Strength Indication(RSSI)by using range and range-free localization algorithms.The method uses Cokriging interpolation algorithm to establish a multidimensional RSSI vector fingerprint of the target area,and locate the range of the target node by matching the RSSI vector betwee...
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