论文标题
研究移动范围网络中流动性指标的影响
Investigating the Effects of Mobility Metrics in Mobile Ad Hoc Networks
论文作者
论文摘要
移动临时网络（MANETS）是由能够从一个位置移至另一个位置的移动节点（MN）的集合形成的。这些网络被其独特特征（例如缺乏基础架构，移动性和多跳沟通）所识别。与传统（有线）网络不同，MANES中的MN不依赖任何基础设施或中央管理。移动性允许MN以不同的速度值移动。多跳通信用于在整个网络上传递数据。由于移动性和网络拓扑的变化，这些网络的性能受到移动性模型和路由协议的选择很大的影响。我们的研究工作旨在评估移动性指标对区分MANET中实体和群体移动模型的影响。此外，我们演示了移动指标与性能指标之间的相互作用。我们还研究了移动性指标的有效性以及哪些指标可以清楚地区分实体和群体移动模型？ 我们使用网络模拟器NS-2.35进行了广泛的模拟，以捕获移动性指标以及不同的性能指标。仿真结果揭示了迁移率指标在区分实体和群体迁移模型方面的效率。我们还获得了移动指标与性能指标之间的有用相互作用。本文介绍的结果提供了有关Manets中移动性指标可变性的新见解。此外，我们的仿真结果揭示了对移动性指标（例如相对速度，节点学位，网络分区等）之间关系的理解和性能指标（例如，数据包输送比，端到端延迟和归一化路由负载
Mobile Ad Hoc Networks (MANETs) are formed by a collection of mobile nodes (MNs) that are capable of moving from one location to another location. These networks are widely identified by their unique characteristics such as lack of infrastructure, mobility and multi-hop communication. Unlike traditional (wired) networks, MNs in MANETs do not rely on any infrastructure or central management. Mobility allows MNs to move at different values of speed. Multi-hop communication is used to deliver data across the entire network. Due to mobility and changing network topology, the performance of these networks is significantly affected by the choice of mobility models and routing protocols. Our research work aims to evaluate the effects of mobility metrics on distinguishing between entity and group mobility models in MANETs. In addition, we demonstrate the interactions between mobility metrics and performance metrics. We also investigate how effective are the mobility metrics and which metrics can clearly distinguish between entity and group mobility models? We performed extensive simulations using network simulator, ns-2.35, to capture mobility metrics as well as different performance metrics. Simulation results reveal the efficiency of mobility metrics on distinguishing between entity and group mobility models. We also obtain useful interactions between mobility metrics and performance metrics. The results presented in this paper provide new insights into the variability of mobility metrics in MANETs. Furthermore, our simulation results reveal better understanding of the relationships between mobility metrics (e.g., relative speed, node degree, network partitions etc.) and performance metrics (e.g., packet delivery ratio, end-to-end delay and normalized routing load
