CAJ | 학술논문

考虑到现有移动自组网络（MANETs）和车载自组网络（VANETs）链路时延理论分析方法太复杂，不适合动态预测实际VANETs中两车链路时延，提出了动态预测链路时延（DPLD）的数学模型，该模型考虑了两车相对速度分布、距离变化和交通流密度变化因素对两车之间链路时延的影响，能够预测预期要发生的两车的链路时延。该模型的实现取决于相对速度分布的估计方法、基于指数移动平均（EMA）的数据预先处理以及通过处理速度的变化解决交通密度对链路时延的影响。仿真结果表明此DPLD模型在预测高速公路上两车链路时延上具有很高的准确性。
고필도현유이동자조망락（MANETs）화차재자조망락（VANETs）련로시연이론분석방법태복잡，불괄합동태예측실제VANETs중량차련로시연，제출료동태예측련로시연（DPLD）적수학모형，해모형고필료량차상대속도분포、거리변화화교통류밀도변화인소대량차지간련로시연적영향，능구예측예기요발생적량차적련로시연。해모형적실현취결우상대속도분포적고계방법、기우지수이동평균（EMA）적수거예선처리이급통과처리속도적변화해결교통밀도대련로시연적영향。방진결과표명차DPLD모형재예측고속공로상량차련로시연상구유흔고적준학성。
A mathematic model for dynamic prediction of link duration (DPLD) in vehicular ad hoc networks (VANETs) is proposed because existing methods for theoretical analysis of link duration in both mobile ad hoc networks (MANETs) and VANETs are too complicated to be applied to a practical setting. The practical DPLD model considers the distribution of two vehicle’s relative velocity, inter vehicle distance and traffic density to estimate the expected link duration between any pair of connected vehicles. The implementation of the model depends on an approach for relative velocity estimation, an exponential moving average (EMA) based data processing procedure, and the solving of the impact of the traffic density on link duration by processing the velocity change of vehicles. The simulation results show that the DPLD model can predict link duration with the high accuracy.