An improved energy-efficient clustering protocol to prolong the wireless sensor network lifetime
A wireless sensor network (WSN) is an important part of the Internet of Things (IoT). However, sensor nodes of a WSN-based IoT network are constraining with the energy resources. A clustering protocol provides an efficient solution to ensure energy saving of nodes and prolong the network lifetime by...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English English |
| Published: |
2021
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| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/26042/1/An%20improved%20energy-efficient%20clustering%20protocol%20to%20prolong%20the%20wireless%20sensor%20network%20lifetime.pdf http://eprints.utem.edu.my/id/eprint/26042/2/An%20improved%20energy-efficient%20clustering%20protocol%20to%20prolong%20the%20wireless%20sensor%20network%20lifetime.pdf http://eprints.utem.edu.my/id/eprint/26042/ https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=121180 |
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| Summary: | A wireless sensor network (WSN) is an important part of the Internet of Things (IoT). However, sensor nodes of a WSN-based IoT network are constraining with the energy resources. A clustering protocol provides an efficient solution to ensure energy saving of nodes and prolong the network lifetime by organizing nodes into clusters to reduce the transmission distance between the nodes and base station (BS). However, existing clustering protocols suffer from issues concerning the clustering structure that adversely affects the performance of these protocols. In this study, we propose an Improved Energy-Efficient Clustering Protocol (IEECP) to prolong the lifetime of the WSN. The proposed IEECP consists of three sequential parts. First, an optimal number of clusters is determined for the overlapping balanced clusters. Then, the balanced-static clusters are formed on the basis of a modified Fuzzy C-means algorithm by integrating this algorithm with a centralized mechanism to reduce and balance the energy consumption of the nodes. Lastly, cluster heads (CHs) are selected in optimal locations with the rotation of the CH function among members of the cluster based on a new CH selection-rotation algorithm by combining a back-off timer mechanism for CH selection and rotation mechanism for CH rotation. In particular, the proposed protocol reduces and balances the energy consumption of nodes by improving the clustering structure, where IEECP is suitable for networks that require a long lifetime. The simulation results prove that the IEECP prolongs the network lifetime better than Energy efficient clustering protocol based on K-means (EECPK-means)-midpoint algorithm (EECPK-means), Traffic-Aware Channel Access Algorithm (TACAA), and an optimal clustering mechanism based on Fuzzy C-means (OCM–FCM) protocols based on the First node die and Weighted first node die. Furthermore, IEECP performs better than the above protocols in terms of the energy dissipation in the network and the number of messages received by BS. |
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