中文摘要：

现有的移动模型大多采用简单的、随机的直线运动来描述物体的移动模式,难以描述现实场景下规避障碍物的曲线移动模式。为解决现有移动模型存在的这些问题,提出一种基于Bezier曲线的移动模型。首先从理论上对该模型的应用进行了详细分析,其次提出了曲线场景下的节点概率分布的分析模型和算法,最后从多个场景进行了仿真验证和比较分析。研究结果表明,与典型的Random Waypoint模型相比,该模型不但可描述移动自组网在有障碍物约束的普遍现实应用场景,而且在同样的场景下具有更优的节点概率分布,使移动自组网表现出良好的动态特性,因此可为移动自组网的仿真研究提供现实的应用场景。

英文摘要：

Most of the existing mobility models were only based on the simple and random linear movement manners for de- scription of moving objects. Moreover, the mobility models could hardly characterize the curve movement manners for mobile nodes to avoid obstacles in the realistic scenarios. To address these issues, this paper presented a novel mobility model based on Bezier curves for MANETs, Firstly, it theoretically analyzed the applications of the proposed model in detail. Then, it gave the analysis model and algorithm of the probability distribution for mobile nodes. Finally, it conducted a series of simulations with different scenarios for verification and comparison analysis. The results show that, compared with Random Waypoint mo- del, the proposed model not only can effectively characterize the application for MANETs in realistic scenarios with obstacle constraints, but also has better probability distribution of mobile nodes under the same conditions. As a result, the proposed mobility model can make a MANET show good dynamic characteristics and provide the realistic application scenarios for simu- lation research in MANETs.