Leveraging Logical Anchor into Topology Optimization forIndoor Wireless Fingerprinting

• 作者: Ahmad Adnan Chenshu Wu Huixiang Liu Lin Wang Nan Jing Wenyuan Liu
• 来源期刊: 计算机、材料和连续体(英文)
• 学科: 工学
• 关键词: RECEIVED signal strength FINGERPRINT LOGIC ANCHOR subarea LOCALIZATION
• 年，卷（期）: 2019,（2）
• 页码范围: 437-449
• 页数: 13页
• 分类号: TN9

摘要

The indoor subarea localization has wide application space in dynamic hotzone identification, indoor layout optimization, store dynamic pricing and crowd flowtrend prediction. The ubiquitous mobile devices provide the opportunity for wirelessfingerprinting-based indoor localization services. However, there are two short boardwhere the existing methods have been criticized. One is that a tagging approach requiresa large number of professional surveys for wireless fingerprint construction, whichweakens the scalability of the methods. The other is that the crowdsourcing-basedmethods encounter the cold boot problem in the system initial stage. To address theseissues, the paper proposes a topology optimization approach leveraging the dynamiclogical anchor selection into a subarea localization system. First of all, a newannular-based radio map construction strategy with the feedback selection of logic anchoris designed to release the pressure of site survey. The implementation of this strategyharnesses the characteristics of the indoor building structure and inter subareaoverlapping recognition, without the topology and distribution of physical anchor (e.g.,access points or POIs). Secondly, exploiting the probabilistic support vector machinealgorithm, the target is localized in the corresponding subarea in a real-time pattern.Furthermore, the localization error is calibrated with an error recognition algorithm.Finally, massive experiments are implemented on a prototype system. The results showthat the proposed method can decrease the overhead of the system initialization andachieve higher localization accuracy compared with the existing approaches.