首页> 外文会议>Telecommunication Networks and Applications Conference (ATNAC), 2008 Australasian >Ripple Effect: an Improved Geographic Routing with Local Connectivity Information
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Ripple Effect: an Improved Geographic Routing with Local Connectivity Information

机译:涟漪效应:具有本地连接信息的改进的地理路由

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One of the key challenges in geographic routing is how to deal with dead-ends, where greedy routing fails to find a neighbor node which is closer to the destination. Most existing geographic routing algorithms just switch to the deterministic face routing or limits its face searching range. In this paper, we demonstrate that we can improve routing performance by considering local connectivity status at each node before making routing decision. We present a protocol, Density Ripple Exchange (DRE), that maintains local density information at each node, and a new geographic routing algorithm, Geographic Ripple Routing (GRR), that achieves better routing performance in both hop stretch and transmission stretch than existing geographic routing algorithms by exploiting available connectivity information. Our simulations demonstrate that we increased the performance for GRR over Greedy Perimeter Stateless Routing (GPSR) by about 15%. The cost of this improved performance is a small amount of additional local connectivity information required for our algorithm.
机译:地理路由的主要挑战之一是如何处理死角,贪婪的路由无法找到更接近目的地的邻居节点。现有的大多数地理路由算法都只是切换到确定性人脸路由或限制其人脸搜索范围。在本文中,我们证明了在做出路由决策之前,可以通过考虑每个节点的本地连接状态来提高路由性能。我们提出了一种协议Density Ripple Exchange(DRE),该协议在每个节点上维护本地密度信息;以及一种新的地理路由算法Geographic Ripple Routing(GRR),与现有的geo通过利用可用的连接信息来路由算法。我们的仿真表明,相比贪婪外围无状态路由(GPSR),我们将GRR的性能提高了约15%。改进性能的代价是我们的算法需要少量的其他本地连接信息。

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