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    A State-of-the-Art Survey on Multidimensional Scaling Based Localization Techniques

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    Type
    Article
    Authors
    Saeed, Nasir cc
    Nam, Haewoon
    Al-Naffouri, Tareq Y. cc
    Alouini, Mohamed-Slim cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering
    Electrical Engineering Program
    Date
    2019
    Permanent link to this record
    http://hdl.handle.net/10754/655510
    
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    Abstract
    Current and future wireless applications strongly rely on precise real-time localization. A number of applications such as smart cities, Internet of Things (IoT), medical services, automotive industry, underwater exploration, public safety, and military systems require reliable and accurate localization techniques. Generally, the most popular localization/ positioning system is the Global Positioning System (GPS). GPS works well for outdoor environments but fails in indoor and harsh environments. Therefore, a number of other wireless local localization techniques are developed based on terrestrial wireless networks, wireless sensor networks (WSNs) and wireless local area networks (WLANs). Also, there exist localization techniques which fuse two or more technologies to find out the location of the user, also called signal of opportunity based localization. Most of the localization techniques require ranging measurements such as time of arrival (ToA), time difference of arrival (TDoA), direction of arrival (DoA) and received signal strength (RSS). There are also range-free localization techniques which consider the proximity information and do not require the actual ranging measurements. Dimensionality reduction techniques are famous among the range free localization schemes. Multidimensional scaling (MDS) is one of the dimensionality reduction technique which has been used extensively in the recent past for wireless networks localization. In this paper, a comprehensive survey is presented for MDS and MDS based localization techniques in WSNs, Internet of Things (IoT), cognitive radio networks, and 5G networks.
    Citation
    Saeed, N., Nam, H., Al-Naffouri, T. Y., & Alouini, M.-S. (2019). A State-of-the-Art Survey on Multidimensional Scaling-Based Localization Techniques. IEEE Communications Surveys & Tutorials, 21(4), 3565–3583. doi:10.1109/comst.2019.2921972
    Sponsors
    This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2016R1D1A1B03934277). This work was also supported by the Office of Sponsored Research (OSR) at King Abdullah University of Science and Technology (KAUST).
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Communications Surveys & Tutorials
    DOI
    10.1109/COMST.2019.2921972
    Additional Links
    https://ieeexplore.ieee.org/document/8734111/
    https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8734111
    ae974a485f413a2113503eed53cd6c53
    10.1109/COMST.2019.2921972
    Scopus Count
    Collections
    Articles; Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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