A Novel Access Point Selection Strategy for Indoor Location with Wi-Fi
The increasing demands on the indoor location service inspire the wide attentions to investigate the indoor position algorithms. Access point (AP) selection is critical important for increasing the estimation accuracy of the indoor location. In this paper, the key features in influencing the accuracy of indoor location systems are investigated. Base on the analysis results, we present an AP selection strategy for indoor location by proposing a novel AP selection index for test point. By using the experiment data, the K-Nearest Neighbor (KNN) and weighted-KNN (WKNN) indoor location methods are carried out to illustrate the performance proposed AP selection strategy. The performance of our AP selection strategy is validated by comparing with the exhaustive AP selection strategy, the fisher AP selection strategy and the largest RSSI strength AP selection strategy. The experiment results show that the proposed AP selection strategy can improve the location accuracy of indoor location with Wi-Fi.
Indoor location Access point selection strategy Wi-Fi location accuracy
Haoxuan Miao Zhanbin Wang Jingcheng Wang Langwen Zhang Zhengfeng Liu
Department of Automation, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai 200240
国际会议
长沙
英文
5260-5265
2014-05-31（万方平台首次上网日期，不代表论文的发表时间）