It shows obviously that the technology of wireless sensor networks will go-ahead very quickly and its applications will be wider and wider in the coming future.The research as described in this dissertation is of significance in both theoretical and application areas.An improved self-adaptive localization method for indoor dynamic environment is proposed.In the improved method,firstly the location errors of beacon nodes are obtained by initial position based on self-amended environment path loss exponent,secondly the coordinates of the blind nodes are calculated by the location errors of beacon nodes which used as the weights of the weighted node centroid algorithm,and coordinates compensation.Finally the improved method is validated on the WSN platform from NI Company.The results of validation present that the positioning accuracy and stability of the improved method are more than these of the classic method.%随着无线传感器网络技术的不断进步成熟,其应用将会越来越广泛,实用化的节点定位技术研究对于传感器网络技术性能提高和实用性保证有重要的理论意义和应用价值.提出一种环境自适应的RSSI户内定位方法.该方法在自修正环境路径损耗指数的基础上,由初次定位获取各信标节点定位误差,以误差为加权质心算法的权值计算盲节点的坐标,并对坐标误差进行补偿.在NI无线传感器网络(WSN)平台上进行的验证结果表明,该方法具有更高的定位测量精度和稳定性.
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