Neural network based mobile phone localization using Bluetooth connectivity

	Neural network based mobile phone localization using Bluetooth connectivity
	Li S.; Liu B.; Chen B.; Lou Y.
	2013
发表期刊	Neural Computing and Applications
ISSN	ISBN/09410643
卷号	23 期号:41702
摘要	Location information is useful for mobile phones. There exists a dilemma between the relatively high price of GPS devices and the dependence of location information acquisition on GPS for most phones in current stage. To tackle this problem, in this paper, we investigate the position inference of phones without GPS according to Bluetooth connectivity and positions of beacon phones. With the position of GPS-equipped phones as beacons and with the Bluetooth connections between neighbor phones as constraints, we formulate the problem as an optimization problem defined on the Bluetooth network. The solution to this optimization problem is not unique. Heuristic information is employed to improve the performance of the result in the feasible set. Recurrent neural networks are developed to solve the problem distributively in real time. The convergence of the neural network and the solution feasibility to the defined problem are both theoretically proven. The hardware implementation of the proposed neural network is also explored in this paper. Simulations and comparisons with different application backgrounds are considered. The results demonstrate the effectiveness of the proposed method. 2012 Springer-Verlag London Limited.
收录类别	SCI ; EI
语种	英语
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/40771
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Li S.,Liu B.,Chen B.,et al. Neural network based mobile phone localization using Bluetooth connectivity[J]. Neural Computing and Applications,2013,23(41702).
APA	Li S.,Liu B.,Chen B.,&Lou Y..(2013).Neural network based mobile phone localization using Bluetooth connectivity.Neural Computing and Applications,23(41702).
MLA	Li S.,et al."Neural network based mobile phone localization using Bluetooth connectivity".Neural Computing and Applications 23.41702(2013).

条目包含的文件		下载所有文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
Li-2013-Neural netwo（1641KB）			开放获取	CC BY-NC-ND	浏览下载