Wang, Q, Lin, D, Yang, P et al. (1 more author) (2018) A Fuzzy-logic Based Energy-efficient Clustering Algorithm for the Wireless Sensor Networks. In: Proceedings - SoftCOM 2018: 26th International Conference on Software, Telecommunications and Computer Networks. SoftCOM 2018: 26th International Conference on Software, Telecommunications and Computer Networks, 13-15 Sep 2018, Split, Croatia. IEEE ISBN 978-9-5329-0087-3
Abstract
The clustering strategy is one of the most promising schemes to reduce the energy consumption since the power constraint still remains as a bottleneck for the Wireless Sensor Networks (WSNs). Though the energy efficiency has been improved, most of them result in too much computational expense. The fuzzy-logic based clustering algorithm outperforms others owing to its superiority in imitating the human's decision making and its ability in transforming multiple inputs into a single output. A Fuzzy-Logic based Energy-Efficient Clustering algorithm (FLEEC) is proposed in this paper. A two-level fuzzy logic system is designed to balance the energy consumption and relieve the “hot spot problem” In the first level, the Sink determines the communication radius for all the sensor nodes according to the fuzzy inputs of the Node-Density and the Distance-to-Sink. The probability to be the cluster head is calculated locally in the second level basing on the descriptors of the Residual-Energy and the Total-Distance generated in the first level. Finally, extensive experiments are conducted and the performance of FLEEC is evaluated. It is proved to be more energy efficient than other clustering schemes such as LEACH and EFCH through the results comaprison.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018, IEEE. This is an author produced version of a paper published in Proceedings - SoftCOM 2018: 26th International Conference on Software, Telecommunications and Computer Networks. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | CHEF; Energy efficiency; Fuzzy logic control; Hot spot problem; LEACH; The wireless sensor networks |
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: | 08 Feb 2019 15:47 |
Last Modified: | 12 Feb 2019 18:15 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.23919/SOFTCOM.2018.8555848 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:142338 |