An obstacle-aware human mobility model for ad hoc networks

Christos A. Papageorgiou, Konstantinos Birkos, T. Dagiuklas, S. Kotsopoulos
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引用次数: 43

Abstract

In this work we present an obstacle-aware human mobility model for ad hoc networks. Typical examples where the nodes of mobile ad hoc networks are human-operated are natural or man-made disasters, military activities or healthcare services. In these scenarios, obstacles are an integral part of the areas where such networks are deployed in order to facilitate communication among the firemen, policemen, medics, soldiers, etc. In the proposed mobility model, the nodes of the network move around the obstacles in a natural and realistic way. A recursive procedure is followed by each node according to which every time an obstacle is encountered between the node's current position and the final destination point, the node moves to the obstacle's vertex that is closest to the destination. This process is repeated until the destination is reached. The obstacles are also taken into account in modeling the signal propagation. When a packet is transmitted through an obstacle, the power at which it is received is attenuated by a certain value representing the physical layer phenomena suffered by the signal. The model is implemented as an add-on module in Network Simulator ns-2. A thorough simulation study conducted highlights the differences of the proposed model with other mobility models, by investigating the properties of the resulting network topologies and their impact on network performance.
面向自组织网络的障碍物感知人类移动模型
在这项工作中,我们提出了一个障碍物感知的自组织网络人类移动模型。移动自组织网络节点由人为操作的典型示例包括自然或人为灾害、军事活动或医疗保健服务。在这些情况下,障碍物是部署这种网络的区域的一个组成部分,以便于消防员、警察、医务人员、士兵等之间的通信。在提出的移动模型中,网络节点以自然和现实的方式绕过障碍物。每个节点遵循递归过程,根据递归过程,每次在节点当前位置和最终目标点之间遇到障碍物时,节点移动到距离目标最近的障碍物顶点。这个过程不断重复,直到到达目的地。在建立信号传播模型时,还考虑了障碍物的影响。当数据包通过障碍物传输时,接收它的功率会衰减到一个特定的值,该值表示信号所遭受的物理层现象。该模型在网络模拟器ns-2中作为附加模块实现。通过研究所得网络拓扑的特性及其对网络性能的影响,进行了全面的仿真研究,突出了所提出的模型与其他移动性模型的差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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