Side localization to increase localization accuracy

Walid M. Ibrahim, Najah A. Abu Ali, Abd Elhamid M. Taha, Hossam S. Hassanein

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    Estimating the location of sensor nodes in wireless sensor networks is a fundamental requirement in a variety of sensing applications. In large scale dense deployments where the area covered by sensor nodes is very large, it is impossible to localize all sensor nodes using single-hop localization techniques. A solution to this problem is to use a multi-hop localization technique to estimate sensor node positions. In some deployments it is required to maintain the anchor nodes at the edge of the simulated area. In previous work, we introduced a new localization scheme that uses distance measurements to localize sensor nodes using a collinear and non-collinear mobile anchor nodes placed at the edge of the sensed area. A Kalman Filter was then used to improve the location accuracy for each node. In this scheme each SN estimated its location from two independent directions then use such information to improve localization accuracy. In this paper, we extend the work to use side localization using hop measurements and fixed anchor node. We also compare the performance of using side localization for both hop and distance measurement. Through simulation we show that side localization using distance and hop measurements outperform DV-Hop and DV-Distance, which are mainstream localization protocols. The weighted mean hop measurement gives higher localization accuracy than using using distance measurement. However, if Kalman Filter is used distance measurement gives better localization accuracy.

    Original languageEnglish
    Title of host publication2014 IEEE/ACS 11th International Conference on Computer Systems and Applications, AICCSA 2014
    PublisherIEEE Computer Society
    Pages810-816
    Number of pages7
    ISBN (Electronic)9781479971008
    DOIs
    Publication statusPublished - 2014
    Event2014 11th IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2014 - Doha, Qatar
    Duration: Nov 10 2014Nov 13 2014

    Publication series

    NameProceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA
    Volume2014
    ISSN (Print)2161-5322
    ISSN (Electronic)2161-5330

    Other

    Other2014 11th IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2014
    Country/TerritoryQatar
    CityDoha
    Period11/10/1411/13/14

    Keywords

    • Collinearity
    • Flip Ambiguity
    • Kalman Filter
    • Localization
    • Multihop
    • Positioning

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Computer Science Applications
    • Hardware and Architecture
    • Signal Processing
    • Control and Systems Engineering
    • Electrical and Electronic Engineering

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