Clustering Analysis in Wireless Sensor Networks: The Ambit of Performance Metrics and Schemes Taxonomy
Research on wireless sensor network (WSN) has increased tremendously throughout the years. In WSN, sensor nodes are deployed to operate autonomously in remote environments. Depending on the network orientation, WSN can be of two types: flat network and hierarchical or cluster-based network. Various...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi - SAGE Publishing
2016-07-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/155014774979142 |
| _version_ | 1797719210939383808 |
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| author | Asim Zeb A. K. M. Muzahidul Islam Mahdi Zareei Ishtiak Al Mamoon Nafees Mansoor Sabariah Baharun Yoshiaki Katayama Shozo Komaki |
| author_facet | Asim Zeb A. K. M. Muzahidul Islam Mahdi Zareei Ishtiak Al Mamoon Nafees Mansoor Sabariah Baharun Yoshiaki Katayama Shozo Komaki |
| author_sort | Asim Zeb |
| collection | DOAJ |
| description | Research on wireless sensor network (WSN) has increased tremendously throughout the years. In WSN, sensor nodes are deployed to operate autonomously in remote environments. Depending on the network orientation, WSN can be of two types: flat network and hierarchical or cluster-based network. Various advantages of cluster-based WSN are energy efficiency, better network communication, efficient topology management, minimized delay, and so forth. Consequently, clustering has become a key research area in WSN. Different approaches for WSN, using cluster concepts, have been proposed. The objective of this paper is to review and analyze the latest prominent cluster-based WSN algorithms using various measurement parameters. In this paper, unique performance metrics are designed which efficiently evaluate prominent clustering schemes. Moreover, we also develop taxonomy for the classification of the clustering schemes. Based on performance metrics, quantitative and qualitative analyses are performed to compare the advantages and disadvantages of the algorithms. Finally, we also put forward open research issues in the development of low cost, scalable, robust clustering schemes. |
| first_indexed | 2024-03-12T09:02:28Z |
| format | Article |
| id | doaj.art-2e15ebd750ce44ce8764e209a4d726fd |
| institution | Directory Open Access Journal |
| issn | 1550-1477 |
| language | English |
| last_indexed | 2024-03-12T09:02:28Z |
| publishDate | 2016-07-01 |
| publisher | Hindawi - SAGE Publishing |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj.art-2e15ebd750ce44ce8764e209a4d726fd2023-09-02T15:34:16ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772016-07-011210.1177/155014774979142Clustering Analysis in Wireless Sensor Networks: The Ambit of Performance Metrics and Schemes TaxonomyAsim Zeb0A. K. M. Muzahidul Islam1Mahdi Zareei2Ishtiak Al Mamoon3Nafees Mansoor4Sabariah Baharun5Yoshiaki Katayama6Shozo Komaki7 Malaysia-Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia (UTM), Jalan Semarak, 54100 Kuala Lumpur, Malaysia Malaysia-Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia (UTM), Jalan Semarak, 54100 Kuala Lumpur, Malaysia Malaysia-Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia (UTM), Jalan Semarak, 54100 Kuala Lumpur, Malaysia ECE Department, Presidency University, Dhaka 1209, Bangladesh Department of Computer Science and Engineering, University of Liberal Arts Bangladesh (ULAB), Dhaka 1209, Bangladesh Malaysia-Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia (UTM), Jalan Semarak, 54100 Kuala Lumpur, Malaysia Nagoya Institute of Technology, Gokiso-cho, Showa-ku, Nagoya, Aichi 466-8555, Japan Malaysia-Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia (UTM), Jalan Semarak, 54100 Kuala Lumpur, MalaysiaResearch on wireless sensor network (WSN) has increased tremendously throughout the years. In WSN, sensor nodes are deployed to operate autonomously in remote environments. Depending on the network orientation, WSN can be of two types: flat network and hierarchical or cluster-based network. Various advantages of cluster-based WSN are energy efficiency, better network communication, efficient topology management, minimized delay, and so forth. Consequently, clustering has become a key research area in WSN. Different approaches for WSN, using cluster concepts, have been proposed. The objective of this paper is to review and analyze the latest prominent cluster-based WSN algorithms using various measurement parameters. In this paper, unique performance metrics are designed which efficiently evaluate prominent clustering schemes. Moreover, we also develop taxonomy for the classification of the clustering schemes. Based on performance metrics, quantitative and qualitative analyses are performed to compare the advantages and disadvantages of the algorithms. Finally, we also put forward open research issues in the development of low cost, scalable, robust clustering schemes.https://doi.org/10.1177/155014774979142 |
| spellingShingle | Asim Zeb A. K. M. Muzahidul Islam Mahdi Zareei Ishtiak Al Mamoon Nafees Mansoor Sabariah Baharun Yoshiaki Katayama Shozo Komaki Clustering Analysis in Wireless Sensor Networks: The Ambit of Performance Metrics and Schemes Taxonomy International Journal of Distributed Sensor Networks |
| title | Clustering Analysis in Wireless Sensor Networks: The Ambit of Performance Metrics and Schemes Taxonomy |
| title_full | Clustering Analysis in Wireless Sensor Networks: The Ambit of Performance Metrics and Schemes Taxonomy |
| title_fullStr | Clustering Analysis in Wireless Sensor Networks: The Ambit of Performance Metrics and Schemes Taxonomy |
| title_full_unstemmed | Clustering Analysis in Wireless Sensor Networks: The Ambit of Performance Metrics and Schemes Taxonomy |
| title_short | Clustering Analysis in Wireless Sensor Networks: The Ambit of Performance Metrics and Schemes Taxonomy |
| title_sort | clustering analysis in wireless sensor networks the ambit of performance metrics and schemes taxonomy |
| url | https://doi.org/10.1177/155014774979142 |
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