Design and Application of a Resource Allocation Method for CAEVs Internet of Things Based on Swarm Intelligence Computing

The Internet of Things (IoT) faces significant challenges in the requirements sensitive task latency, reasonable resource allocation and reliability for transactions. This paper introduces a novel method road IoT context connected autonomous electric vehicles (CAEVs). proposed algorithm leverages ant colony (ACA) to effectively allocate coordinate resources within groups CAEVs. By considering energy consumption pheromone volatilization, coordination process are optimized. To improve linear packet loss RED, we adopt advanced ACA CRED NS2 platform. experimental results demonstrate that outperforms RED rate delay time, significantly enhancing system efficiency performance. Furthermore, combination successfully mitigates short-term congestion identifies optimized paths with minimal delay.