RoboMapper: An Automated Signal Mapping Robot for RSSI Fingerprinting

T. Serif, Osman Kerem Perente, Yusuf Dalan
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引用次数: 7

Abstract

With the ever-increasing numbers of mobile devices, location-based services became a crucial part of mobile development. Many indoor location detection systems are developed to solve positioning problem where satellite-based solutions prone to failure. Among many proposed solutions, fingerprinting technique proved to be the most reliable approach for indoor location. However, it comes with a cost; it entails a time-consuming learning phase which should be repeated many times during the system's life time to preserve system accuracy. Thus, we propose an automated signal mapping robot called RoboMapper to alleviate time-consuming nature of the learning phase of fingerprinting technique. With the help of its accurate distance keeping mechanisms, RoboMapper can construct the signal map of the environment so that the created map can be used for user positioning. Our findings indicate that using RoboMapper 2.68-meter positioning accuracy with 70% probability can be achieved.
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RoboMapper:用于RSSI指纹识别的自动信号映射机器人
随着移动设备数量的不断增加,基于位置的服务成为移动开发的重要组成部分。许多室内定位检测系统是为了解决基于卫星的定位方案容易失效的问题而开发的。在众多提出的解决方案中,指纹识别技术被证明是最可靠的室内定位方法。然而,这是有代价的;它需要一个耗时的学习阶段,在系统的生命周期内应该重复多次以保持系统的准确性。因此,我们提出了一种称为RoboMapper的自动信号映射机器人,以减轻指纹技术学习阶段的耗时性质。借助其精确的距离保持机制,RoboMapper可以构建环境的信号地图,从而创建的地图可以用于用户定位。我们的研究结果表明,使用RoboMapper可以达到2.68米的定位精度,概率为70%。
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