Zhao, C, Wu, Q, Lin, D et al. (1 more author) (2022) An Energy-Balanced Unequal Clustering Approach for Circular Wireless Sensor Networks. Ad Hoc Networks, 132. 102872. ISSN 1570-8705
Abstract
The network lifetime of the Wireless Sensor Networks (WSNs) is a critical factor for the relevant applications due to the limited energy supply. However, the imbalanced energy consumption of the whole network always leads to the “Hot Spot Problem” and the decline of network lifetime inevitably. To this end, the schemes of energy-balanced unequal clustering and energy-efficient cluster head rotation are considered in this paper. To be specific, we conduct detailed theoretical derivation and mathematical calculation based on the concept of gradient to obtain the optimal number of CHs, with the aim of balancing the energy consumption for the whole network topology. In addition, a fuzzy logic-based mechanism for CHs rotation is also proposed to balance the energy distribution among different cluster heads. Subsequently, a novel Energy-Balanced unequal Clustering Approach (EBCA) for circular wireless sensor networks is proposed and detailed. Finally, we conduct extensive simulations to verify its performance. The experimental results indicate that EBCA is able to balance the energy consumption of cluster heads in different gradient, reduce the energy consumption and prolong the network lifetime effectively compared with the classic and latest clustering algorithms.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 Elsevier B.V. All rights reserved. This is an author produced version of an article published in Ad Hoc Networks. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | WSNs; Energy Balance; Network Lifetime; Clustering Algorithm |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 09 May 2022 11:58 |
Last Modified: | 04 May 2023 00:13 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.adhoc.2022.102872 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:186485 |