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Bio-inspired group mobility model for mobile ad hoc networks based on bird-flocking behavior

机译:基于鸟群行为的移动自组网的生物启发式群体移动性模型

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In this paper, we propose a novel group mobility model for mobile ad hoc networks (MANETs), named as Bird-Flocking Behavior Inspired Group Mobility Model (BFBIGM), which takes inspiration from the mobility of a flock of birds, flying in a formation. Most existing modeling techniques are deficient in successfully addressing many aspects in terms of the application of realistic forces on the movement of mobile nodes (MNs), the interaction of MNs within a group, and collision avoidance within a group and with environmental obstacles. The results obtained through experiments show that in terms of connectivity metrics, such as link duration, BFBIGM performs around 50% better in comparison to the popular existing mobility models like Random Waypoint (RWP) Model (Johnson et al. in Ad hoc networking, Addison-Wesley, Menlo Park, pp. 139–172,2001) and the Reference Point Group Mobility (RPGM) Model (Hong et al. in: Proceedings of the 2nd ACM international workshop on modeling, analysis and simulation of wireless and mobile systems, Seattle, WA, pp. 53–60,1999).
机译:在本文中,我们提出了一种用于移动自组织网络(MANET)的新型群体移动性模型,称为鸟群行为启发性群体移动性模型(BFBIGM),该模型从一群成群飞行的鸟类的移动性中获得灵感。大多数现有的建模技术都无法成功解决许多方面的问题,包括在移动节点(MN)的移动上施加逼真的力,组内MN的交互以及组内以及环境障碍下的碰撞避免。通过实验获得的结果表明,就连通性指标(例如链路持续时间)而言,BFBIGM的性能比现有的流行移动性模型(如随机航点(RWP)模型(Johnson等人,Ad hoc网络,Addison) -Wesley,Menlo Park,第139-172页,2001年)和参考点组移动性(RPGM)模型(Hong等人,在:第二届ACM国际研讨会上对无线和移动系统的建模,分析和仿真,华盛顿州西雅图,第53-60,1999年)。

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