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首页> 外文期刊>International journal of communications, network, and system sciences >Empirical Modeling and Simulation of Temporal Based Adaptive Mobility Model for MANET
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Empirical Modeling and Simulation of Temporal Based Adaptive Mobility Model for MANET

机译：MANET基于时间的自适应移动性模型的经验建模与仿真

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Mobile Ad Hoc network (MANET) is a collection of wireless mobile nodes forming a temporary network without the aid of any established infrastructure. To conduct meaningful performance analysis of MANETs, it is essential that the simulation of mobility model should reflect the realistic mobility pattern of mobile nodes i.e. placement of mobile nodes at different intervals of time. The formation of spontaneous network depends heavily on the movement of different nodes in a particular practical scenario. This research focuses on the modeling and simulation of a temporal Adaptive Mobility Model which can be adapted to any dynamic practical scenario. The mobility in the realistic environment is simulated based on a Probability Transition Matrix named as Personal Behavior Model (PBM) and validated for a practical Health Care Environment. The formation of MANET is assumed to be based on the movement of the patient i.e. mobile nodes in the health care environment. Patients waiting in front of each service point for different time intervals are taken as results and compared with the actual data.
机译：移动自组织网络（MANET）是形成临时网络的无线移动节点的集合，无需任何已建立的基础结构。为了进行有意义的MANET性能分析，至关重要的是，移动性模型的仿真应反映移动节点的实际移动性模式，即移动节点在不同时间间隔的放置。自发网络的形成在很大程度上取决于特定实际情况下不同节点的移动。这项研究的重点是可以适应任何动态实际情况的时间适应性移动模型的建模和仿真。基于称为个人行为模型（PBM）的概率转换矩阵对现实环境中的移动性进行了仿真，并针对实际的医疗环境进行了验证。假设MANET的形成是基于患者的移动，即健康护理环境中的移动节点。将在每个服务点之前等待不同时间间隔的患者作为结果，并与实际数据进行比较。

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