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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Bibliographic Details
Main Authors: Mohamed Noor, Noorhayati (Author), Md Din, Norashidah (Author), Kasiran, Zolidah (Author), Khalid, Nor Azimah (Author), Abdullah, Shapina (Author)
Format: Book
Published: Universiti Teknologi MARA, 2020-06.
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100 1 0 |a Mohamed Noor, Noorhayati  |e author 
700 1 0 |a Md Din, Norashidah  |e author 
700 1 0 |a Kasiran, Zolidah  |e author 
700 1 0 |a Khalid, Nor Azimah  |e author 
700 1 0 |a Abdullah, Shapina  |e author 
245 0 0 |a Spectrum aware clustering algorithm based on fuzzy logic for sensor based monitoring application / Noorhayati Mohamed Noor ...[et al.] 
260 |b Universiti Teknologi MARA,   |c 2020-06. 
500 |a https://ir.uitm.edu.my/id/eprint/48082/1/48082.pdf 
520 |a 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. 
546 |a en 
690 |a Fuzzy arithmetic 
690 |a Fuzzy logic 
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655 7 |a PeerReviewed  |2 local 
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