A trust-based method for highest node degree clustering in multi-layer mobile networks

Wei Liu; Wei Deng; Jianhua Huang

doi:10.1117/12.2671220

29 March 2023 A trust-based method for highest node degree clustering in multi-layer mobile networks

Wei Liu, Wei Deng, Jianhua Huang

Proceedings Volume 12594, Second International Conference on Electronic Information Engineering and Computer Communication (EIECC 2022); 125941S (2023) https://doi.org/10.1117/12.2671220
Event: Second International Conference on Electronic Information Engineering and Computer Communication (EIECC 2022), 2022, Xi'an, China

Abstract

The maximum node degree clustering method for multilayer mobile networks suffers from a high cluster head change rate. A trust-based maximum node degree clustering method for multilayer mobile networks is designed. Obtaining the highest node degree parameter, we calculate the energy consumption during state transitions, optimise multilayer mobile network routing protocols, adjust the value of the cost function for joining cluster heads, take direct interaction, send trust requests to third parties for verification, and design a clustering method based on trust degrees. Experimental results: The mean value of cluster head change rate of this designed multi-layer mobile network maximum node degree clustering method is 12.519%, which is 5.125% and 5.683% lower than the other two multi-layer mobile network maximum node degree clustering methods, respectively, indicating that the designed multi-layer mobile network maximum node degree clustering method is more stable after fully considering the factor of trust.

Citation Download Citation

Wei Liu, Wei Deng, and Jianhua Huang "A trust-based method for highest node degree clustering in multi-layer mobile networks", Proc. SPIE 12594, Second International Conference on Electronic Information Engineering and Computer Communication (EIECC 2022), 125941S (29 March 2023); https://doi.org/10.1117/12.2671220

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