Unequal clustering in wireless sensor network: A review
In recent time, the applications' diversity of wireless sensor network (WSN) attracts many researchers. WSN comprises of many sensor nodes with limited battery power. Therefore, energy consumption should be controlled to the optimum. Clustering is an efficient solution for energy management in...
Saved in:
Main Authors: | , , |
---|---|
Other Authors: | |
Format: | Article |
Published: |
Institute of Advanced Engineering and Science
2023
|
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universiti Tenaga Nasional |
id |
my.uniten.dspace-26273 |
---|---|
record_format |
dspace |
spelling |
my.uniten.dspace-262732023-05-29T17:08:32Z Unequal clustering in wireless sensor network: A review Al-Ani K.W. Abdullah F.B. Yossuf S. 57202987188 56613644500 57222902856 In recent time, the applications' diversity of wireless sensor network (WSN) attracts many researchers. WSN comprises of many sensor nodes with limited battery power. Therefore, energy consumption should be controlled to the optimum. Clustering is an efficient solution for energy management in WSN, but clustering does not consider the sink node location. It will cause the energy hole problem in multi-hop routing. Energy hole problem was solved by unequal clustering. A review of various unequal clustering mechanisms is presented in this paper. The comparison between the various mechanisms was based on cluster head election process, cluster properties, simulation parameters and energy efficiency to highlight a more efficient and scalable unequal clustering algorithm for WSN. � 2021 Institute of Advanced Engineering and Science. All rights reserved. Final 2023-05-29T09:08:32Z 2023-05-29T09:08:32Z 2021 Article 10.11591/ijeecs.v22.i1.pp419-426 2-s2.0-85104202532 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104202532&doi=10.11591%2fijeecs.v22.i1.pp419-426&partnerID=40&md5=6855126fc562ea0f7c82a302db6ce23f https://irepository.uniten.edu.my/handle/123456789/26273 22 1 419 426 All Open Access, Gold, Green Institute of Advanced Engineering and Science Scopus |
institution |
Universiti Tenaga Nasional |
building |
UNITEN Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Tenaga Nasional |
content_source |
UNITEN Institutional Repository |
url_provider |
http://dspace.uniten.edu.my/ |
description |
In recent time, the applications' diversity of wireless sensor network (WSN) attracts many researchers. WSN comprises of many sensor nodes with limited battery power. Therefore, energy consumption should be controlled to the optimum. Clustering is an efficient solution for energy management in WSN, but clustering does not consider the sink node location. It will cause the energy hole problem in multi-hop routing. Energy hole problem was solved by unequal clustering. A review of various unequal clustering mechanisms is presented in this paper. The comparison between the various mechanisms was based on cluster head election process, cluster properties, simulation parameters and energy efficiency to highlight a more efficient and scalable unequal clustering algorithm for WSN. � 2021 Institute of Advanced Engineering and Science. All rights reserved. |
author2 |
57202987188 |
author_facet |
57202987188 Al-Ani K.W. Abdullah F.B. Yossuf S. |
format |
Article |
author |
Al-Ani K.W. Abdullah F.B. Yossuf S. |
spellingShingle |
Al-Ani K.W. Abdullah F.B. Yossuf S. Unequal clustering in wireless sensor network: A review |
author_sort |
Al-Ani K.W. |
title |
Unequal clustering in wireless sensor network: A review |
title_short |
Unequal clustering in wireless sensor network: A review |
title_full |
Unequal clustering in wireless sensor network: A review |
title_fullStr |
Unequal clustering in wireless sensor network: A review |
title_full_unstemmed |
Unequal clustering in wireless sensor network: A review |
title_sort |
unequal clustering in wireless sensor network: a review |
publisher |
Institute of Advanced Engineering and Science |
publishDate |
2023 |
_version_ |
1806426611728252928 |