Path vector face routing: geographic routing with local face information

B. Leong, S. Mitra, B. Liskov
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引用次数: 183

Abstract

Existing geographic routing algorithms depend on the planarization of the network connectivity graph for correctness, and the planarization process gives rise to a well-defined notion of "faces". In this paper, we demonstrate that we can improve routing performance by storing a small amount of local face information at each node. We present a protocol, path vector exchange (PVEX), that maintains local face information at each node efficiently, and a new geographic routing algorithm, greedy path vector face routing (GPVFR), that achieves better routing performance in terms of both path stretch and hop stretch than existing geographic routing algorithms by exploiting available local face information. Our simulations demonstrate that GPVFR/PVEX achieves significantly reduced path and hop stretch than greedy perimeter stateless routing (GPSR) and somewhat better performance than greedy other adaptive face routing (GOAFR+) over a wide range of network topologies. The cost of this improved performance is a small amount of additional storage, and the bandwidth required for our algorithm is comparable to GPSR and GOAFR+ in quasi-static networks.
路径矢量面路由:具有本地面信息的地理路由
现有的地理路由算法依赖于网络连接图的平面化来保证其正确性,而平面化过程产生了一个定义良好的“面”概念。在本文中,我们证明了我们可以通过在每个节点上存储少量的本地人脸信息来提高路由性能。我们提出了一种有效维护每个节点本地人脸信息的路径矢量交换(PVEX)协议,以及一种新的地理路由算法——贪婪路径矢量人脸路由(GPVFR),该算法利用可用的本地人脸信息,在路径延伸和跳数延伸方面都比现有的地理路由算法有更好的路由性能。仿真结果表明,GPVFR/PVEX比贪婪周界无状态路由(GPSR)实现了显著减少的路径和跳长,并且在广泛的网络拓扑结构中比贪婪其他自适应面路由(GOAFR+)具有更好的性能。这种性能改进的代价是少量额外的存储空间,我们的算法所需的带宽与准静态网络中的GPSR和GOAFR+相当。
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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