DocumentCode
625360
Title
Coordinates Determination of Submerged Sensors Using Cayley-Menger Determinant
Author
Rahman, Aminur ; Muthukkumarasamy, Vallipuram ; Sithirasenan, E.
Author_Institution
Sch. of Inf. & Commun. Technol., Griffith Univ., Gold Coast, QLD, Australia
fYear
2013
fDate
20-23 May 2013
Firstpage
466
Lastpage
471
Abstract
This paper investigates the problem of localizing submerged sensors and provides a new mechanism to determine the coordinates of those sensors using only one beacon node. In underwater wireless sensor networks (UWSN), precise coordinate of the sensors that actuate or collect data is vital, as data without the knowledge of its actual origin has limited value. Mostly, multi-lateration technique is used to determine the location of the sensors with respect to three or more known beacon nodes where distance between them is measured considering the roundtrip time of acoustic signal. However, this method of measuring distances gives erroneous results due to a number of factors, including relative angular stand of the nodes. In this study, a new method of determining the underwater distances between beacon and sensor nodes has been presented using combined radio and acoustic signals, which has better immunity from multipath fading. Moreover, Cayley-Menger determinant is used to determine the coordinates of the nodes where none of nodes have a priori knowledge about its location. Simulation results validate the proposed mathematical models by computing coordinates of sensor nodes with negligible errors.
Keywords
distance measurement; underwater acoustic communication; wireless sensor networks; Cayley-Menger determinant; UWSN; acoustic signal roundtrip time; beacon nodes; data actuation; data collection; distance measurement; multilateration technique; multipath fading; node relative angular stand; radio signals; sensor nodes; submerged sensor coordinates determination; underwater wireless sensor networks; Acoustic measurements; Acoustics; Distance measurement; Equations; Mathematical model; Sea measurements; Wireless sensor networks; Cayley-Menger determinant; linearization; localization; underwater wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Distributed Computing in Sensor Systems (DCOSS), 2013 IEEE International Conference on
Conference_Location
Cambridge, MA
Print_ISBN
978-1-4799-0206-4
Type
conf
DOI
10.1109/DCOSS.2013.62
Filename
6569473
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