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Di-GAFR: Directed Greedy Adaptive Face-Based Routing

机译:Di-GAFR:有方向的贪婪自适应人脸路由

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In this paper, we present Di-GAFR, a novel WSN geometric routing algorithm containing greedy, face and directed routing. In Di-GAFR, forwarding decisions merely depend on information about a node's immediate neighbors in the network topology, which made the algorithm absolutely local and highly scalable. Additionally, we have proved that Di-GAFR was asymptotically optimal. Simulations demonstrate that Di-GAFR sufficiently outperforms other prominent algorithms, such as GPSR and GOAFR, in the "critical" region.
机译:在本文中,我们提出了Di-GAFR,这是一种新颖的WSN几何路由算法,包含贪婪,人脸和有向路由。在Di-GAFR中,转发决策仅取决于有关网络拓扑中节点的直接邻居的信息,这使该算法绝对本地且具有高度可伸缩性。另外,我们已经证明Di-GAFR是渐近最优的。仿真表明,Di-GAFR在“关键”区域中的性能足以胜过其他出色的算法,例如GPSR和GOAFR。

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