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  • Localization of Submerged Sensors with a Single Beacon for Non-Parallel Planes State

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    Muthukkumarasamy207890.pdf (844.2Kb)
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    Accepted Manuscript (AM)
    Author(s)
    Rahman, Anisur
    Muthukkumarasamy, Vallipuram
    Griffith University Author(s)
    Muthukkumarasamy, Vallipuram
    Year published
    2018
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    Abstract
    This paper delineates a new method of determining the coordinates of sensors with a single beacon for both the parallel and non-parallel state situations. Cayley-Menger determinant is mostly used when the beacon and deployed sensors are in the state of parallel planes. We have, however, proposed a mathematical model to compute the coordinates of the submerged sensors even when these sensors and beacon are in non-parallel state configuration. As the knowledge of precise coordinates of the sensors is as important as the collected data in underwater wireless sensor networks, the measure of exact distance between the nodes becomes ...
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    This paper delineates a new method of determining the coordinates of sensors with a single beacon for both the parallel and non-parallel state situations. Cayley-Menger determinant is mostly used when the beacon and deployed sensors are in the state of parallel planes. We have, however, proposed a mathematical model to compute the coordinates of the submerged sensors even when these sensors and beacon are in non-parallel state configuration. As the knowledge of precise coordinates of the sensors is as important as the collected data in underwater wireless sensor networks, the measure of exact distance between the nodes becomes the prime factor for improved accuracy. The proposed mathematical model of coordinate-determination has better immunity from multipath fading and linearization process of non-linear equations, resulting in more precise location of the sensors. Moreover, a single beacon is used to determine the coordinates of the sensor nodes where none of them have a priori knowledge about their locations.
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    Conference Title
    2018 Tenth International Conference on Ubiquitous and Future Networks (ICUFN)
    Volume
    2018-July
    DOI
    https://doi.org/10.1109/icufn.2018.8437041
    Copyright Statement
    © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subject
    Information and computing sciences
    Publication URI
    http://hdl.handle.net/10072/383987
    Collection
    • Conference outputs

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