An Improved Method of Self-Adaptive Localization for Wireless Sensor Network in Dynamic Indoor Environment

摘要：

According to the defects of the classic method of received-signal-strength indication (RSSI) for indoor localization, such as the larger location errors and the sensitivity to the dynamic environment, 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 is used as the weights of the weighted node centralized algorithm, and the coordinate errors can be compensated; Finally, the improved method is validated on the WSN platform from NI company, and result shows that the algorithm has a higher positioning accuracy and stability in dynamic indoor environment.

关键词： Indoor Localization Received-Signal-Strength Indication Self-Adaptive for Environment Wireless Sensor Network

作者: NI Hu-Shengj XU Wu-Jun LI Yuan-Yuan TAO Meng-Yue SONG Shi-Chao FAN Hong

作者单位: College of Information Science & Technology, Donghua University, Shanghai 201620, China Engineering Research Center of Digitized Textile & Fashion Technology, Ministry of Education, Donghua University, Shanghai201620, P. R. China

会议类型: 国际会议

会议名称: The 31st Chinese Control Conference(第三十一届中国控制会议)

会议地点: 合肥

会议语种:英文

页码: 6574-6577

在线出版日期: 2012-07-01（万方平台首次上网日期，不代表论文的发表时间）