An Adaptive Parameter Estimation Method for Wireless Localization Using RSSI Measurements

被引:0
|
作者
Park, Jinhyung [1 ]
Cho, Hyunhun [1 ]
Kim, Seunghae [1 ]
Park, Dowoo [2 ]
Kim, Ahsol [2 ]
Park, Joongoo [2 ]
机构
[1] Korea Inst Sci & Technol Informat, Dept Comp & Networking Resources, 335 Gwahangno, Taejon, South Korea
[2] Kyungpook National Univ, Grad Sch Elect Engn & Comp Sci, Daegu, South Korea
来源
关键词
signal strength; WLAN; RSSI; log model; distance function; LOCATION;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In location-based service (LBS). it is important to determine the location of a mobile user more, exactly and efficiently. In case of a wireless network, such as IEEE 802.11. a method using a received signal strength indicator (RSSI) for each access point is advantageous because it does not require additional infrastructure and it is suitable for the simplification. However, this technique of localization is required to investigate the propagation environment to determine the location of mobile user in advance. We propose a method in which the parameters of the propagation environment are determined using only RSSI measurements obtained during localization.
引用
收藏
页码:238 / +
页数:2
相关论文
共 50 条
  • [31] A Modified RSSI-Based Indoor Localization Method in Wireless Sensor Network
    Chen, Zhe
    Han, Wenting
    Jiang, Yuchao
    Yin, Fuliang
    PROCEEDINGS OF THE 2014 INTERNATIONAL CONFERENCE ON MECHATRONICS, CONTROL AND ELECTRONIC ENGINEERING, 2014, 113 : 216 - 220
  • [32] Wireless UV collaborative RSSI and the AOA hybrid localization method for UAV swarms
    Zhao, Taifei
    Li, Mina
    Liu, Jiachen
    Wang, Yunpeng
    Li, Hui
    APPLIED OPTICS, 2024, 63 (35) : 8986 - 8993
  • [33] Crowd Estimation Based on RSSI Measurements Using kNN Classification
    Taha, Mohammad
    Atallah, Rahma
    Dwiek, Odai
    Bata, Farah
    2020 THE 3RD INTERNATIONAL CONFERENCE ON INTELLIGENT AUTONOMOUS SYSTEMS (ICOIAS'2020), 2020, : 67 - 70
  • [34] Human positioning estimation method using received signal strength indicator (RSSI) in a wireless sensor network
    Oguchi, Kimio
    Maruta, Shou
    Hanawa, Dai
    9TH INTERNATIONAL CONFERENCE ON FUTURE NETWORKS AND COMMUNICATIONS (FNC'14) / THE 11TH INTERNATIONAL CONFERENCE ON MOBILE SYSTEMS AND PERVASIVE COMPUTING (MOBISPC'14) / AFFILIATED WORKSHOPS, 2014, 34 : 126 - 132
  • [35] Localization with orientation using RSSI measurements: RF map based approach
    Rolfe, Bernard F.
    Ekanayake, Samitha W.
    Pathirana, Pubudu N.
    Palaniswami, Marimuththu
    PROCEEDINGS OF THE 2007 INTERNATIONAL CONFERENCE ON INTELLIGENT SENSORS, SENSOR NETWORKS AND INFORMATION PROCESSING, 2007, : 311 - +
  • [36] Moving Towards Wireless Sensors using RSSI Measurements and Particle Filtering
    Radak, Jovan
    Baulig, Lukas
    Bijak, Dawid
    Schowalter, Christian
    Frey, Hannes
    PE-WASUN'17: PROCEEDINGS OF THE 14TH ACM SYMPOSIUM ON PERFORMANCE EVALUATION OF WIRELESS AD HOC, SENSOR, & UBIQUITOUS NETWORKS, 2017, : 33 - 40
  • [37] An adaptive model recognition and construction method for RSSI fingerprint-based localization
    Yu, Yangkang
    Yang, Ling
    Li, Haojun
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2019, 30 (12)
  • [38] A robust structural parameter estimation method using seismic response measurements
    Kuleli, Muge
    Nagayama, Tomonori
    STRUCTURAL CONTROL & HEALTH MONITORING, 2020, 27 (03):
  • [39] Robust Blimps Formation using Wireless Sensor based on Received Signal Strength Indication (RSSI) Localization Method
    Kadir, Herdawatie Abdul
    Arshad, Mohd Rizal
    SAINS MALAYSIANA, 2017, 46 (01): : 129 - 137
  • [40] A Novel Environment Self-adaptive Localization Algorithm Based on RSSI for Wireless Sensor Networks
    Yi, Xiao
    Liu, Yu
    Deng, Lu
    2010 IEEE INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND INFORMATION SECURITY (WCNIS), VOL 2, 2010, : 360 - 363