An Indoor Location-Based Service Using Access Points as Signal Strength Data Collectors

被引:0
|
作者
Kao, Kuo-Fong [1 ]
Liao, I-En [2 ]
Lyu, Jia-Siang [2 ]
机构
[1] Hsiuping Inst Technol, Dept Informat Networking Technol, Taichung, Taiwan
[2] Dept Comp Sci & Engn, Taichung, Taiwan
关键词
Indoor Localization; Received Signal Strength; Access Points; OpenWrt; Kismet;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
WLAN location determination algorithms can be classified into client-based approach and infrastructure-based approach. This paper proposes an infrastructure-based indoor location determination algorithm using access points (APs) as received signal strength (R SS) data collectors. Beside the role of RSS data collector, the APs can simultaneously play the role of communication. In the proposed system, each AP runs OpenWrt, Kismet, and MySQL client for collecting signal strength data from mobile devices. The location server builds a Nearest Neighborhood estimation model based on RSS measurements of the mobile device. In the example application, the system manager can easily collect training data and input location-aware contents using a web page. Once a mobile device enters the area with location-aware services, the AP will collect the RSS and IP of this device. Then when the mobile device connects to the web page provided by our system, the system will locate this device and show the location -based services to the user. The proposed system has the features of low deployment costs without additional hardware and a web-based interface for location-aware service content provider. Once the system is deployed, the content provider can easily create the location-aware services.
引用
收藏
页数:6
相关论文
共 50 条
  • [21] Differential Access Points for Indoor Location Estimation
    Chang, Ning
    Rashidzadeh, Rashid
    Ahmadi, Majid
    2009 IEEE INTERNATIONAL CONFERENCE ON ELECTRO/INFORMATION TECHNOLOGY, 2009, : 254 - 257
  • [22] Efficient Indoor Location-Based System using Sensor Networks
    Kim, Jonghyun
    Lee, Dongho
    Chung, Kwangsue
    INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2011, 11 (06): : 134 - 140
  • [23] Development of an Indoor Location-based System using Sensor Networks
    Kim, Jonghyun
    Lee, Dongho
    Chung, Kwangsue
    IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE 2011), 2011, : 293 - 294
  • [24] INDOOR LOCATION ESTIMATION USING THE RECEIVED SIGNAL STRENGTH INDICATOR OF WI-FI ACCESS POINT
    Muthalagu, Raja
    Fernandes, Shaun
    Duseja, Dhruv
    JOURNAL OF ENGINEERING SCIENCE AND TECHNOLOGY, 2022, 17 (04): : 2362 - 2372
  • [25] Privacy-preserving location-based service protocols with flexible access
    Tang, Shuyang
    Liu, Shengli
    Huang, Xinyi
    Liu, Zhiqiang
    INTERNATIONAL JOURNAL OF COMPUTATIONAL SCIENCE AND ENGINEERING, 2019, 20 (03) : 412 - 423
  • [26] Received Signal Strength-Based Indoor Location Method
    Alvarez Lopez, Yuri
    Las-Heras Andres, Fernando
    2013 INTERNATIONAL CONFERENCE ON NEW CONCEPTS IN SMART CITIES: FOSTERING PUBLIC AND PRIVATE ALLIANCES (SMARTMILE), 2013,
  • [27] Location-based data access control scheme for Internet of Vehicles
    Jiang, Mei
    Wang, Hao
    Zhang, Wenying
    Qin, Hong
    Sun, Xi
    COMPUTERS & ELECTRICAL ENGINEERING, 2020, 86 (86)
  • [28] Extend Your Journey: Introducing Signal Strength into Location-based Applications
    Cheng, Chih-Chuan
    Hsiu, Pi-Cheng
    2013 PROCEEDINGS IEEE INFOCOM, 2013, : 2742 - 2750
  • [29] An empirical study of the adoption of an indoor location-based service: Finding reading rooms
    Gao S.
    Krogstie J.
    Thingstad T.
    Tran H.
    International Journal of Technology and Human Interaction, 2017, 13 (02) : 70 - 88
  • [30] Chinese Location Word Recognition Using Service Context Information for Location-Based Service
    Cheng, Jiujun
    Hou, Jingyu
    Yan, Chendan
    Cheng, Junlu
    Zhang, Qingyang
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2014, 2014