Abstract:
Green Vehicular Ad-hoc Network (VANET) research reduces the environmental impact of vehicular communication equipment. Recent studies have shown that clustering vehicles for green communications in VANETs can significantly improve networking efficiency and reduce infrastructure costs.
Green VANET clustering must maintain connectivity and reduce communication overlap as a dynamic network system. Most research studies connectivity and overlap separately without understanding their relationship.
We use a single model to analyze the two critical factors to solve this problem. First, we design a state resemblance prediction (SRP) model using historical trajectory feature relevance between vehicles; Finally, we conduct extensive experiments to verify the region-based collaborative management scheme (RCMS) for dynamic clustering. Results show that the clustering algorithm improves networking efficiency and communication stability.
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
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