Developing multi-tier network design for effective energy consumption of cluster head selection in WSN / Wan Isni Sofiah Wan Din … [et al.]

Clustering in Wireless Sensor Network (WSN) is one of the methods to minimize the energy usage of sensor network. The design of sensor network itself can prolong the lifetime of network. Cluster head in each cluster is an important part in clustering to ensure the lifetime of each sensor node can be...

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Main Authors: Wan Din, Wan Isni Sofiah, Yahya, Saadiah, Taib, Mohd Nasir, Mohd Yassin, Ahmad Ihsan, Razali, Razulaimi
Format: Article
Language:English
Published: Penerbit UiTM (UiTM Press) 2016
Subjects:
Online Access:http://ir.uitm.edu.my/id/eprint/16136/
http://ir.uitm.edu.my/id/eprint/16136/1/AJ_WAN%20ISNI%20WAN%20DIN%20SRJ%2016.pdf
id uitm-16136
recordtype eprints
spelling uitm-161362017-02-17T02:44:06Z http://ir.uitm.edu.my/id/eprint/16136/ Developing multi-tier network design for effective energy consumption of cluster head selection in WSN / Wan Isni Sofiah Wan Din … [et al.] Wan Din, Wan Isni Sofiah Yahya, Saadiah Taib, Mohd Nasir Mohd Yassin, Ahmad Ihsan Razali, Razulaimi Power resources Energy consumption Computer networks. General works. Traffic monitoring Clustering in Wireless Sensor Network (WSN) is one of the methods to minimize the energy usage of sensor network. The design of sensor network itself can prolong the lifetime of network. Cluster head in each cluster is an important part in clustering to ensure the lifetime of each sensor node can be preserved as it acts as an intermediary node between the other sensors. Sensor nodes have the limitation of its battery where the battery is impossible to be replaced once it has been deployed. Thus, this paper presents an improvement of clustering algorithm for two-tier network as we named it as Multi-Tier Algorithm (MAP). For the cluster head selection, fuzzy logic approach has been used which it can minimize the energy usage of sensor nodes hence maximize the network lifetime. MAP clustering approach used in this paper covers the average of 100Mx100M network and involves three parameters that worked together in order to select the cluster head which are residual energy, communication cost and centrality. It is concluded that, MAP dominant the lifetime of WSN compared to LEACH and SEP protocols. For the future work, the stability of this algorithm can be verified in detailed via different data and energy. Penerbit UiTM (UiTM Press) 2016 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/16136/1/AJ_WAN%20ISNI%20WAN%20DIN%20SRJ%2016.pdf Wan Din, Wan Isni Sofiah and Yahya, Saadiah and Taib, Mohd Nasir and Mohd Yassin, Ahmad Ihsan and Razali, Razulaimi (2016) Developing multi-tier network design for effective energy consumption of cluster head selection in WSN / Wan Isni Sofiah Wan Din … [et al.]. Scientific Research Journal, 13 (1). pp. 116-130. ISSN 1675-7009
repository_type Digital Repository
institution_category Local University
institution Universiti Teknologi MARA
building UiTM Institutional Repository
collection Online Access
language English
topic Power resources
Energy consumption
Computer networks. General works. Traffic monitoring
spellingShingle Power resources
Energy consumption
Computer networks. General works. Traffic monitoring
Wan Din, Wan Isni Sofiah
Yahya, Saadiah
Taib, Mohd Nasir
Mohd Yassin, Ahmad Ihsan
Razali, Razulaimi
Developing multi-tier network design for effective energy consumption of cluster head selection in WSN / Wan Isni Sofiah Wan Din … [et al.]
description Clustering in Wireless Sensor Network (WSN) is one of the methods to minimize the energy usage of sensor network. The design of sensor network itself can prolong the lifetime of network. Cluster head in each cluster is an important part in clustering to ensure the lifetime of each sensor node can be preserved as it acts as an intermediary node between the other sensors. Sensor nodes have the limitation of its battery where the battery is impossible to be replaced once it has been deployed. Thus, this paper presents an improvement of clustering algorithm for two-tier network as we named it as Multi-Tier Algorithm (MAP). For the cluster head selection, fuzzy logic approach has been used which it can minimize the energy usage of sensor nodes hence maximize the network lifetime. MAP clustering approach used in this paper covers the average of 100Mx100M network and involves three parameters that worked together in order to select the cluster head which are residual energy, communication cost and centrality. It is concluded that, MAP dominant the lifetime of WSN compared to LEACH and SEP protocols. For the future work, the stability of this algorithm can be verified in detailed via different data and energy.
format Article
author Wan Din, Wan Isni Sofiah
Yahya, Saadiah
Taib, Mohd Nasir
Mohd Yassin, Ahmad Ihsan
Razali, Razulaimi
author_facet Wan Din, Wan Isni Sofiah
Yahya, Saadiah
Taib, Mohd Nasir
Mohd Yassin, Ahmad Ihsan
Razali, Razulaimi
author_sort Wan Din, Wan Isni Sofiah
title Developing multi-tier network design for effective energy consumption of cluster head selection in WSN / Wan Isni Sofiah Wan Din … [et al.]
title_short Developing multi-tier network design for effective energy consumption of cluster head selection in WSN / Wan Isni Sofiah Wan Din … [et al.]
title_full Developing multi-tier network design for effective energy consumption of cluster head selection in WSN / Wan Isni Sofiah Wan Din … [et al.]
title_fullStr Developing multi-tier network design for effective energy consumption of cluster head selection in WSN / Wan Isni Sofiah Wan Din … [et al.]
title_full_unstemmed Developing multi-tier network design for effective energy consumption of cluster head selection in WSN / Wan Isni Sofiah Wan Din … [et al.]
title_sort developing multi-tier network design for effective energy consumption of cluster head selection in wsn / wan isni sofiah wan din … [et al.]
publisher Penerbit UiTM (UiTM Press)
publishDate 2016
url http://ir.uitm.edu.my/id/eprint/16136/
http://ir.uitm.edu.my/id/eprint/16136/1/AJ_WAN%20ISNI%20WAN%20DIN%20SRJ%2016.pdf
first_indexed 2023-09-18T22:55:24Z
last_indexed 2023-09-18T22:55:24Z
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