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BIGM: A Biogeography Inspired Group Mobility Model for Mobile Ad Hoc Networks

机译:BIGM:移动自组织网络的生物地理启发式群体移动性模型

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This paper propounds a novel Biogeography Inspired Group Mobility model for Mobile Ad Hoc Networks (MANETs) based on the Biogeography Based Optimization (BBO) algorithm. BBO describes the migration behavior of species between the islands and how they become extinct and new species arise. Many mobility models present in the literature failed to realistically represent the movement of nodes within the group and migration of nodes from one group to another group. To address these issues, each group of nodes in the proposed mobility model follows the bird flocking rules; inspired from the movement of flock of birds. These nodes then migrate from one group to another group based on BBO approach, showing group mobility behavior among the group of nodes in MANETs which exhibit frequent group motion and network topology changes. The experimental results obtained through ns-2 simulator is compared with a Random Waypoint Mobility model and Reference Point Group Mobility model and evaluated their network performance under different routing protocols.
机译:本文提出了一种基于基于生物地理的优化(BBO)算法的移动自组织网络(MANET)的新型生物地理启发式群体移动性模型。 BBO描述了物种在岛屿之间的迁移行为,以及物种如何灭绝和新物种的出现。文献中存在的许多移动性模型无法真实地表示组中节点的移动以及节点从一个组到另一组的迁移。为了解决这些问题,建议的移动性模型中的每组节点都遵循鸟群规则。灵感来自鸟群的运动。然后,这些节点基于BBO方法从一组迁移到另一组,从而显示MANET中节点组之间的组移动性行为,这些行为表现出频繁的组运动和网络拓扑变化。将通过ns-2模拟器获得的实验结果与随机路点移动性模型和参考点组移动性模型进行比较,并评估它们在不同路由协议下的网络性能。

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