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基于位置服务室内节点的信道分配模型与可信度评估
引用本文:刘昭斌,刘文芝,方立刚,唐亚哲.基于位置服务室内节点的信道分配模型与可信度评估[J].计算机应用,2013,33(3):603-606.
作者姓名:刘昭斌  刘文芝  方立刚  唐亚哲
作者单位:1.江苏省现代企业信息化应用支撑软件工程技术研究开发中心,江苏 苏州 215104; 2.西安交通大学 电子与信息工程学院,西安 710049
基金项目:国家自然科学基金资助项目(61170245); 江苏省科技计划项目(BK2012164); 苏州市科技计划项目(SYG201257)。
摘    要:针对位置服务(LBS)在深度室内环境下将无法进行GPS定位问题,提出一种融合GPS、Wi-Fi、ZigBee和蓝牙混合的LBS室内节点信道分配模型和可信度评估与控制方法。信道分配模型解决了组合信道分配包括业务负载判据和每个节点的可用射频及非重叠的射频信道的数量问题。通过对每一个接入点(AP)的信号强度建立与参考点的信号强度的预测模型,采用基于能量度量优化算法判断选择组合信道可信度,自适应选择性能好的邻居节点参与迭代优化。仿真结果表明,该方法能有效抑制通信干扰误差在网络内的扩散,降低定位复杂度,提高定位精度,同时提高整个网络的扩展性与鲁棒性。

关 键 词:基于位置服务    信道分配    可信度    评估    能量度量
收稿时间:2012-09-10
修稿时间:2012-11-18

Channel allocation model and credibility evaluation for LBS indoor nodes
LIU Zhaobin LIU Wenzhi FANG Ligang TANG Yazhe.Channel allocation model and credibility evaluation for LBS indoor nodes[J].journal of Computer Applications,2013,33(3):603-606.
Authors:LIU Zhaobin LIU Wenzhi FANG Ligang TANG Yazhe
Affiliation:1. Jiangsu Province Support Software Engineering Research and Development Center for Modern Information Technology Application in Enterprise, Suzhou Jiangsu 215104, China;
2. School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an Shaanxi 710049, China
Abstract:In response to the issue that GPS is unable to carry out Location-Based Service (LBS) in indoor environment, a LBS indoor channel allocation model, credibility evaluation and control method was presented in this paper, which integrated GPS, Wi-Fi, ZigBee and Bluetooth technologies. It solved the problem arising from combination channel allocation, including the evaluation of the traffic load, the available Radio Frequency (RF), and non-overlapping RF channels number of each node. Each Access Point(AP)'s signal strength built the prediction model with reference point. The optimization algorithm was designed to determine and select the credibility of combination channel based on the energy evaluation. It adaptively selected neighbors with highest comprehensive effects to participate in iterative optimization. The simulation result indicates this method can effectively inhibit the proliferation of communication interference error in the network, reduce the positioning complexity, and improve the positioning accuracy in addition to improving scalability and robustness of the entire network.
Keywords:Location-Based Service (LBS)                                                                                                                        channel allocation                                                                                                                        credibility                                                                                                                        evaluation                                                                                                                        energy measure
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