A new memoryless online routing algorithm for Delaunay triangulations

Ashkan Rezazadeh, Mostafa Nouri-Baygi
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Abstract

We consider 1-local online routing on a special class of geometric graphs called Delaunay triangulations (DTs). A geometric graph G = (V, E) of a point set consists of a set of points in the plane and edges between them, where each edge weighs as the Euclidean distance between it’s end-points. DTs are one of the useful classes of these graphs because of some good properties which can help during the navigation process, therefore over the years DTs have been widely proposed as network topologies for several times.In this paper, we present a new memoryless online routing (MOR) algorithm for DTs which is simple, elegant, and easy to implement, while having an acceptable performance.The set of MOR algorithms are suitable for cases where we want to find a path using only local information, our proposed algorithm is memoryless or 1-local, in k-local routing, we find a path between a source vertex s to a destination vertex t while our knowledge at each step is limited to the locations of s and t, the location of current vertex and it’s k-neighborhood vertices.We also evaluate and compare the perforamnce of our prpopsed algorithm with existing MOR algorithms. Our experimental results implied that our proposed algorithm has an acceptable performance in both Euclidean and link metrics and it outperforms all of the existing MOR algorithms in Euclidean metric, and some of them in the link metric as well. Finally, we pose two open problems to solve in the future.
Delaunay三角剖分的一种新的无内存在线路由算法
我们考虑在一类特殊的几何图上的1-局部在线路由,称为Delaunay三角剖分(dt)。点集的几何图G = (V, E)由平面上的一组点和它们之间的边组成,其中每条边的权重为其端点之间的欧几里得距离。由于其在导航过程中的一些良好特性,dt是这些图中有用的一类,因此多年来,dt被多次广泛提出作为网络拓扑。本文提出了一种新的DTs无内存在线路由(MOR)算法,该算法简单、美观、易于实现,同时具有良好的性能。MOR算法集适用于仅使用局部信息寻找路径的情况,我们提出的算法是无内存的或1-local的,在k-local路由中,我们找到源顶点s到目标顶点t之间的路径,而我们每一步的知识仅限于s和t的位置,当前顶点的位置及其k个邻域顶点。我们还评估和比较了我们提出的算法与现有的MOR算法的性能。实验结果表明,本文提出的算法在欧几里德度量和链路度量方面都具有良好的性能,并且在欧几里德度量方面优于现有的所有MOR算法,在链路度量方面也优于部分MOR算法。最后,我们提出了未来需要解决的两个开放性问题。
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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