Spectrum aware clustering algorithm based on fuzzy logic for sensor based monitoring application / Noorhayati Mohamed Noor …[et al.]
In this paper, a clustering solution for periodic data gathering over WSNs using cognitive radio technology is proposed. The cluster heads (CHs) are selected according to the channel availability, residual energy, communication cost and node distribution parameters. Fuzzy logic and weight based tech...
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| Format: | Article |
| Language: | en |
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Universiti Teknologi MARA
2020
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| Online Access: | https://ir.uitm.edu.my/id/eprint/48082/1/48082.pdf https://ir.uitm.edu.my/id/eprint/48082/ https://mjoc.uitm.edu.my |
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| _version_ | 1833068564290994176 |
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| author | Mohamed Noor, Noorhayati Md Din, Norashidah Kasiran, Zolidah Khalid, Nor Azimah Abdullah, Shapina |
| author_facet | Mohamed Noor, Noorhayati Md Din, Norashidah Kasiran, Zolidah Khalid, Nor Azimah Abdullah, Shapina |
| author_sort | Mohamed Noor, Noorhayati |
| building | Tun Abdul Razak Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Mara |
| content_source | UiTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | In this paper, a clustering solution for periodic data gathering over WSNs using cognitive radio technology is proposed. The cluster heads (CHs) are selected according to the channel availability, residual energy, communication cost and node distribution parameters. Fuzzy logic and weight based techniques combines the four parameters for the CH selection. The cluster formation is based on the relative channel availability between the cluster member (CM) and CH to ensure stable cluster connectivity from link failure. To evaluate the proposed clustering algorithm, the performance of sensor networks is compared with CogLEACH, LEACH and CHEF routing protocols. The simulation results show that the proposed clustering algorithm effectively has a significant improvement with respect to the network stability without reducing the network instability and network lifetime. In addition, the proposed clustering solution also has a low and almost consistent CH energy consumption during the stability period indicating an efficient cluster formation. |
| format | Article |
| id | my.uitm.ir-48082 |
| institution | Universiti Teknologi Mara |
| language | en |
| publishDate | 2020 |
| publisher | Universiti Teknologi MARA |
| record_format | eprints |
| spelling | my.uitm.ir-480822021-06-24T07:27:05Z https://ir.uitm.edu.my/id/eprint/48082/ Spectrum aware clustering algorithm based on fuzzy logic for sensor based monitoring application / Noorhayati Mohamed Noor …[et al.] mjoc Mohamed Noor, Noorhayati Md Din, Norashidah Kasiran, Zolidah Khalid, Nor Azimah Abdullah, Shapina Fuzzy arithmetic Fuzzy logic In this paper, a clustering solution for periodic data gathering over WSNs using cognitive radio technology is proposed. The cluster heads (CHs) are selected according to the channel availability, residual energy, communication cost and node distribution parameters. Fuzzy logic and weight based techniques combines the four parameters for the CH selection. The cluster formation is based on the relative channel availability between the cluster member (CM) and CH to ensure stable cluster connectivity from link failure. To evaluate the proposed clustering algorithm, the performance of sensor networks is compared with CogLEACH, LEACH and CHEF routing protocols. The simulation results show that the proposed clustering algorithm effectively has a significant improvement with respect to the network stability without reducing the network instability and network lifetime. In addition, the proposed clustering solution also has a low and almost consistent CH energy consumption during the stability period indicating an efficient cluster formation. Universiti Teknologi MARA 2020-06 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/48082/1/48082.pdf Spectrum aware clustering algorithm based on fuzzy logic for sensor based monitoring application / Noorhayati Mohamed Noor …[et al.]. (2020) Malaysian Journal of Computing (MJoC) <https://ir.uitm.edu.my/view/publication/Malaysian_Journal_of_Computing_=28MJoC=29/>, 5 (1). pp. 433-445. ISSN 2600-8238 https://mjoc.uitm.edu.my |
| spellingShingle | Fuzzy arithmetic Fuzzy logic Mohamed Noor, Noorhayati Md Din, Norashidah Kasiran, Zolidah Khalid, Nor Azimah Abdullah, Shapina Spectrum aware clustering algorithm based on fuzzy logic for sensor based monitoring application / Noorhayati Mohamed Noor …[et al.] |
| title | Spectrum aware clustering algorithm based on fuzzy logic for sensor based monitoring application / Noorhayati Mohamed Noor …[et al.] |
| title_full | Spectrum aware clustering algorithm based on fuzzy logic for sensor based monitoring application / Noorhayati Mohamed Noor …[et al.] |
| title_fullStr | Spectrum aware clustering algorithm based on fuzzy logic for sensor based monitoring application / Noorhayati Mohamed Noor …[et al.] |
| title_full_unstemmed | Spectrum aware clustering algorithm based on fuzzy logic for sensor based monitoring application / Noorhayati Mohamed Noor …[et al.] |
| title_short | Spectrum aware clustering algorithm based on fuzzy logic for sensor based monitoring application / Noorhayati Mohamed Noor …[et al.] |
| title_sort | spectrum aware clustering algorithm based on fuzzy logic for sensor based monitoring application / noorhayati mohamed noor …[et al.] |
| topic | Fuzzy arithmetic Fuzzy logic |
| url | https://ir.uitm.edu.my/id/eprint/48082/1/48082.pdf https://ir.uitm.edu.my/id/eprint/48082/ https://mjoc.uitm.edu.my |
| url_provider | http://ir.uitm.edu.my/ |