Detailed Information

Cited 18 time in webofscience Cited 21 time in scopus
Metadata Downloads

A Cluster Based Localization Scheme with Partition Handling for Mobile Underwater Acoustic Sensor Networksopen access

Authors
Islam, TariqLee, Yong Kyu
Issue Date
1-Mar-2019
Publisher
MDPI
Keywords
underwater acoustic sensor networks; localization; mobility; GPS; clustering; data-tagging
Citation
SENSORS, v.19, no.5
Indexed
SCIE
SCOPUS
Journal Title
SENSORS
Volume
19
Number
5
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/8306
DOI
10.3390/s19051039
ISSN
1424-8220
1424-3210
Abstract
Many applications of underwater sensor networks (UWSNs), such as target tracking, reconnaissance and surveillance, and marine life monitoring require information about the geographic locations of the sensed data. This makes the localization of sensor nodes a crucial part of such underwater sensing missions. In the case of mobile UWSNs, the problem becomes challenging, not only due to a need for the periodic tracking of nodes, but also due to network partitioning as a result of the pseudo-random mobility of nodes. In this work, we propose an energy efficient solution for localizing nodes in partitioned networks. Energy consumption is minimized by clustering unlocalized partitioned nodes and allowing only clusterheads to carry out a major part of the localization procedure on behalf of the whole cluster. Moreover, we introduce a retransmission control scheme that reduces energy consumption by controlling unnecessary transmission. The major design goal of our work is to maximize localization coverage while keeping communication overheads at a minimum, thus achieving better energy efficiency. The major contributions of this paper include a clustering technique for localizing partitioned nodes and a retransmission control strategy that reduces unnecessary transmissions.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Advanced Convergence Engineering > Department of Computer Science and Artificial Intelligence > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE