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由于实际部署经验的匮乏,仿真成为一种研究移动网络的必不可少的手段,而移动模型的选取则是仿真验证各种协议性能的关键.文中基于随机方向移动模型的理论,提出了高动态自适应移动网络模型,研究了其算法和建模实现.基本思想是将正态分布与均匀分布相结合,以及将惯性反馈控制理论和运动学相结合,通过对节点速度的自适应控制和运动路线的预测跟踪,设计实现了一种自适应节点运动特征的高动态移动模型.模型的自适应性表现在可根据预测路线在三维空间内随机变化并调节节点运动速度和轨迹,群体移动可体现出一定的规律性.该模型不但适用于一般动态环境,而且对高动态环境有很好的适应性,逼真模拟了节点匀速、匀变速、变加速和驻留等随机运动过程,能很好地解决急转和突停等问题.最后对模型性能进行了随机场景仿真分析,验证了其有效性.
Due to the lack of actual deployment experience, simulation becomes an indispensable means to research mobile networks, and the selection of mobile models is the key to simulate and verify the performance of various protocols.In this paper, based on the theory of stochastic directional mobile models, Adaptive mobile network model and its algorithm and modeling are studied.The basic idea is to combine the normal distribution and the uniform distribution and to combine the inertial feedback control theory and the kinematics. Through the adaptive control of the node velocity and the movement Route prediction and tracking, a highly dynamic motion model with adaptive node motion characteristics is designed and implemented.The adaptability of the model can be expressed as follows: it can randomly change in three-dimensional space according to the predicted route and adjust the node velocity and trajectory, The model is not only suitable for general dynamic environment, but also has good adaptability to high dynamic environment, and realistically simulates the random motion process such as uniform velocity, uniform velocity, acceleration and residency of nodes, which can well Solve the problems of sudden turn and sudden stop etc. At last, the simulation and analysis of the model performance is carried out to verify its validity.