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Improved Compact Routing Scheme with Applications in Static Sensor Networks and Internet

机译:利用静态传感器网络和互联网应用改进了紧凑的路由方案

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In this paper, we investigate {a} compact routing scheme with applications in static sensor networks and Internet. More precisely, we propose a new geometric ad-hoc routing algorithm to route queries in static {geometric graphs} in which the number of transmissions for each query and the space used to store the routing information on each node in terms of the number of registers (each able to store an integer/real number) are bounded by $O(cfrac{log D}{log c})$ and $O(log^3 D)$ respectively, where $c$ is the length of the shortest path between the source and the destination and $D$ is the diameter of the network. Our algorithm significantly improves the complexity of the currently best known algorithm by Gk{a}sieniec, Su, Wong and Xin in cite{GSWX05} [J. Discrete Algorithms 5(1): 1-11 (2007)] for the scenario when $Dle Theta(2^{sqrt{log n}})$ that has $O(clog n)$ transmissions for each query and $O(log nlog D)$ registers in each node, where $n$ is the number of nodes in the network. Moreover, our new routing algorithm also reserves extremely better scalability compared with the currently best known algorithm in cite{GSWX05} since it does not depend on the size of the network. {Unsurprisingly, our new compact routing scheme for geometric graphs also outperforms} the currently best known algorithm for general graphs by Abraham, Gavoille, and Malkhi in cite{AGM06} [SPAA 2006], e.g., our scheme can reduce the space requirement from $O(log^5 n)$ per node to $O(log^3 D)$ with the exactly same stretch factor $O(log n)$. While our work directly applies to sensor networks, we hope that it can stimulate the future research on impact of the graph properties to the performance of compact routing schemes.
机译:在本文中,我们研究了在静态传感器网络和互联网应用{A}紧凑的路由方案。更确切地说,我们提出了一个新的几何的ad-hoc路由算法路由查询静态{几何图形},其中,每个查询和用于每个节点上的路由信息​​存储在寄存器的数量方面的空间传输的数(每个都能够存储一个整数/实数)是被O $(cfrac {日志d} {日志ç})分别$和$ O(日志^ 3 d)$,其中$ C $是最短的长度为界源和目的地和$ d $之间的路径是网络的直径。我们的算法显著改善目前最著名的算法是一篇{A} sieniec,苏,黄和鑫举{} GSWX05 [J.复杂离散算法5(1):1-11(2007)]为场景时$ DLE西塔(2 ^ {SQRT {日志N}})$具有$ O(堵塞N)$传输为每个查询和$ O(登录n日志d)$寄存器中的每个节点,其中$ N $是网络中的节点的数目。此外,我们的新的路由算法也非常储量更好的扩展性与目前最著名的算法,举{} GSWX05因为它不依赖于网络的规模相比。 {不出所料,我们的几何图形新的紧凑型路由方案也优于}中引用{AGM06} [SPAA 2006],例如,我们的方案可以减少$空间需求亚伯拉罕,Gavoille和Malkhi一般图目前最著名的算法O(日志^ 5 n)的每$节点到$ O(日志^ 3 d)$用完全相同的拉伸因子$ O(log n)的$。虽然我们的工作直接应用于传感器网络,我们希望它能够刺激对图形性能的紧凑型路由方案的性能的影响,未来的研究方向。

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