dc.contributor.author |
Zaman, Sadia |
|
dc.contributor.author |
Mowsume, Farihatul Allam |
|
dc.contributor.author |
Mohiuddin, Marzia |
|
dc.date.accessioned |
2017-10-04T05:10:12Z |
|
dc.date.available |
2017-10-04T05:10:12Z |
|
dc.date.issued |
4/19/2017 |
|
dc.identifier.uri |
http://dspace.ewubd.edu/handle/2525/2339 |
|
dc.description |
This thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering of East West University, Dhaka, Bangladesh |
en_US |
dc.description.abstract |
Underwater wireless sensor Networks(UWSNs) are usually deployed over a large sea
area and the nodes are usually floating, due to their special environment. This results in a lower
beacon node distribution density, a longer time for localization, and more energy consumption.
Currently most of the localization algorithm in this field do not pay enough consideration on the
mobility of the nodes. This paper investigates the problem of localizing submerged sensors that
are mobile 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. In this study, the 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. The velocity of unknown node is
calculated by using the spatial correlation of underwater object’s mobility, and then their
locations can be predicted. 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 mobility with negligible errors. |
en_US |
dc.language.iso |
en_US |
en_US |
dc.publisher |
East West University |
en_US |
dc.relation.ispartofseries |
;00121 CSE |
|
dc.subject |
Underwater wireless sensor Network, Cayley-Menger Determinant |
en_US |
dc.title |
Coordinates Determination of Underwater Mobile Sensors Using Cayley-Menger Determinant |
en_US |
dc.type |
Thesis |
en_US |