UWSNs: A Round-Based Clustering Scheme for Data Redundancy Resolve

The underwater wireless sensor network (UWSN) is a state-of-the-art approach to exploring potential information and resources in the aquatic environment. However, underwater communication has unique features, such as long propagation delay, low bandwidth capacity, high bit error rates, and mobility,...

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Main Authors: Khoa Thi-Minh Tran, Seung-Hyun Oh
Format: Article
Language:English
Published: SAGE Publishing 2014-04-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2014/383912
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spelling doaj-535f471276134069adc074d3773f5e642020-11-25T02:22:15ZengSAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772014-04-011010.1155/2014/383912383912UWSNs: A Round-Based Clustering Scheme for Data Redundancy ResolveKhoa Thi-Minh TranSeung-Hyun OhThe underwater wireless sensor network (UWSN) is a state-of-the-art approach to exploring potential information and resources in the aquatic environment. However, underwater communication has unique features, such as long propagation delay, low bandwidth capacity, high bit error rates, and mobility, memory, and battery limitations. In this paper, we propose a round-based clustering scheme that can overcome the UWSN's confines mainly by resolving the transmission of redundant data in the network—one of the significant factors that reduces network lifetime. Our proposed scheme works in rounds, with each round consisting of four main phases: initialization, cluster-head selection, clustering, and data aggregation. Suitable mechanisms are chosen to apply in each round. By dealing with most of the redundant data, our proposed clustering scheme better reduces network consumption, thus increasing network throughput. Moreover, the minimum percentage of received data at the sink/base station is guaranteed.https://doi.org/10.1155/2014/383912
collection DOAJ
language English
format Article
sources DOAJ
author Khoa Thi-Minh Tran
Seung-Hyun Oh
spellingShingle Khoa Thi-Minh Tran
Seung-Hyun Oh
UWSNs: A Round-Based Clustering Scheme for Data Redundancy Resolve
International Journal of Distributed Sensor Networks
author_facet Khoa Thi-Minh Tran
Seung-Hyun Oh
author_sort Khoa Thi-Minh Tran
title UWSNs: A Round-Based Clustering Scheme for Data Redundancy Resolve
title_short UWSNs: A Round-Based Clustering Scheme for Data Redundancy Resolve
title_full UWSNs: A Round-Based Clustering Scheme for Data Redundancy Resolve
title_fullStr UWSNs: A Round-Based Clustering Scheme for Data Redundancy Resolve
title_full_unstemmed UWSNs: A Round-Based Clustering Scheme for Data Redundancy Resolve
title_sort uwsns: a round-based clustering scheme for data redundancy resolve
publisher SAGE Publishing
series International Journal of Distributed Sensor Networks
issn 1550-1477
publishDate 2014-04-01
description The underwater wireless sensor network (UWSN) is a state-of-the-art approach to exploring potential information and resources in the aquatic environment. However, underwater communication has unique features, such as long propagation delay, low bandwidth capacity, high bit error rates, and mobility, memory, and battery limitations. In this paper, we propose a round-based clustering scheme that can overcome the UWSN's confines mainly by resolving the transmission of redundant data in the network—one of the significant factors that reduces network lifetime. Our proposed scheme works in rounds, with each round consisting of four main phases: initialization, cluster-head selection, clustering, and data aggregation. Suitable mechanisms are chosen to apply in each round. By dealing with most of the redundant data, our proposed clustering scheme better reduces network consumption, thus increasing network throughput. Moreover, the minimum percentage of received data at the sink/base station is guaranteed.
url https://doi.org/10.1155/2014/383912
work_keys_str_mv AT khoathiminhtran uwsnsaroundbasedclusteringschemefordataredundancyresolve
AT seunghyunoh uwsnsaroundbasedclusteringschemefordataredundancyresolve
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