Speed-aware routing for UAV ad-hoc networks
Speed-aware routing for UAV ad-hoc networks
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DOI：
10.1109/glocomw.2013.6825185
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发表时间：
2013-07
期刊：
影响因子：
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通讯作者：
S. Rosati;K. Kruzelecki;Louis Traynard;B. Rimoldi
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文献类型：
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作者：
S. Rosati;K. Kruzelecki;Louis Traynard;B. Rimoldi
在本文中，我们研究移动的ad-hoc网络（MANET）组成的无人机（UAVs）。由于节点的高移动性，这些网络是非常动态的，现有的路由协议部分未能提供一个可靠的通信。我们提出预测OLSR的优化链路状态路由（OLSR）协议的扩展：它使高效的路由在非常动态的条件。其核心思想是利用GPS信息来辅助路由协议。预测OLSR考虑节点之间的相对速度，对预期传输计数（ETX）度量进行加权。我们提供的MAC层仿真器，集成了飞行模拟器再现现实的飞行条件下获得的数值结果。这些数值结果表明，预测OLSR显着优于OLSR和BABEL，提供了一个可靠的通信，即使在非常动态的条件。
In this paper we examine mobile ad-hoc networks (MANET) composed by unmanned aerial vehicles (UAVs). Due to the high-mobility of the nodes, these networks are very dynamic and the existing routing protocols partly fail to provide a reliable communication. We present Predictive-OLSR an extension to the Optimized Link-State Routing (OLSR) protocol: it enables efficient routing in very dynamic conditions. The key idea is to exploit GPS information to aid the routing protocol. Predictive-OLSR weights the expected transmission count (ETX) metric, taking into account the relative speed between the nodes. We provide numerical results obtained by a MAC-layer emulator that integrates a flight simulator to reproduce realistic flight conditions. These numerical results show that Predictive-OLSR significantly outperforms OLSR and BABEL, providing a reliable communication even in very dynamic conditions.