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.
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