Poster Abstract: Extreme Learning Machine for Wireless Indoor Localization

被引：0
|
作者：
Xiao, Wendong [1 ]
Liu, Peidong [1 ]
Soh, Wee-Seng [1 ]
Jin, Yunye [1 ]
机构：
[1] Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing, Peoples R China
来源：
IPSN'12: PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON INFORMATION PROCESSING IN SENSOR NETWORKS | 2012年
关键词：
Indoor localization; fingerprinting; neural network; ELM;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Due to the widespread deployment and low cost, WLAN has drawn much attention for indoor localization. In this poster, an efficient indoor localization algorithm, which utilizes the WLAN received signal strength from each Access Point (AP), has been proposed. The algorithm is based on the Extreme Learning Machine (ELM), a Single layer Feed-forward neural Network (SLFN). It is competitive fast in offline learning and online localization. Also, compared with existing fingerprinting approach, it does not need the fingerprinting database in the online phase, which can substantially reduce the required storage space of the terminal devices.
引用
收藏
页码：101 / 102
页数：2
相关论文
共 50 条
  • [21] Poster Abstract: Node Deployment Mechanism for Quick, Indoor, and Device-Free Localization
    Liu, Jinjun
    An, Ning
    Hassan, Md Tanbir
    Chen, Guilin
    Zhang, Yanyong
    2016 15TH ACM/IEEE INTERNATIONAL CONFERENCE ON INFORMATION PROCESSING IN SENSOR NETWORKS (IPSN), 2016,
  • [22] Poster Abstract: E-Loc: Indoor Localization through Building Electric Wiring
    Zhou, Tian
    Zhang, Yue
    Chen, Xinlei
    Zhang, Pei
    Zhang, Lin
    2017 16TH ACM/IEEE INTERNATIONAL CONFERENCE ON INFORMATION PROCESSING IN SENSOR NETWORKS (IPSN), 2017, : 311 - 312
  • [23] Extreme learning machine for indoor location fingerprinting
    Dwiyasa, Felis
    Lim, Meng-Hiot
    Ong, Yew-Soon
    Panigrahi, Bijaya
    MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING, 2017, 28 (03) : 867 - 883
  • [24] Poster Abstract: LocTag: Passive WiFi Tag for Robust Indoor Localization via Smartphones
    Wei, Shengen
    Wang, Jiankun
    Zhao, Zenghua
    IEEE INFOCOM 2020 - IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (INFOCOM WKSHPS), 2020, : 1342 - 1343
  • [25] Extreme learning machine for indoor location fingerprinting
    Felis Dwiyasa
    Meng-Hiot Lim
    Yew-Soon Ong
    Bijaya Panigrahi
    Multidimensional Systems and Signal Processing, 2017, 28 : 867 - 883
  • [26] A Taylor Based Localization Algorithm for Wireless Sensor Network Using Extreme Learning Machine
    Luo, Xiong
    Chang, Xiaohui
    Liu, Hong
    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2014, E97D (10): : 2652 - 2659
  • [27] Intelligent RFID Indoor Localization System Using a Gaussian Filtering Based Extreme Learning Machine
    Wang, Changzhi
    Shi, Zhicai
    Wu, Fei
    SYMMETRY-BASEL, 2017, 9 (03):
  • [28] An Efficient Machine Learning Approach for Indoor Localization
    Lingwen Zhang
    Yishun Li
    Yajun Gu
    Wenkao Yang
    中国通信, 2017, 14 (11) : 141 - 150
  • [29] An Efficient Machine Learning Approach for Indoor Localization
    Zhang, Lingwen
    Li, Yishun
    Gu, Yajun
    Yang, Wenkao
    CHINA COMMUNICATIONS, 2017, 14 (11) : 141 - 150
  • [30] Indoor Localization using Machine Learning and Beacons
    Lee, JaeYong
    Park, Sang-uk
    Choi, Myeong-in
    Yoon, Guwon
    Park, Sehyun
    2020 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - TAIWAN (ICCE-TAIWAN), 2020,
12345