无线自组织网络的贪婪局部Delaunay三角剖分路由

D. Satyanarayana
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引用次数: 2

摘要

动态路由协议的开发是无线自组织网络设计中具有挑战性的任务之一,该协议能够在两个多跳通信节点之间有效地传输数据包。大多数基于几何的贪婪路由协议都存在局部极大值问题。尽管存在这样的问题,但在自组织网络的路由中使用几何图并不总是有效的。本文提出了一种新的几何路由算法——贪心局部Delaunay三角剖分(GLDT)协议。GLDT对其邻域信息采用贪婪转发。当报文到达局部最大值时,该算法使用局部Delaunay三角剖分法进行恢复,并使用右手定则进行转发。该算法不仅解决了局部极大值问题,而且在端到端数据包延迟和发送率方面都优于已有算法。仿真结果验证了该协议的性能
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Greedy Local Delaunay Triangulation Routing for Wireless Ad Hoc Networks
One of the challenging tasks in the design of wireless ad hoc networks is the development of dynamic routing protocol that can efficiently transmit packets between two multihop communication nodes. Most of the geometric based greedy routing protocols suffer from the problem of local maximum. Inspite of this problem, it is not always efficient to use geometric graphs in the routing of adhoc networks. In this paper, we propose a new geometric routing algorithm called greedy local Delaunay triangulation (GLDT) protocol. GLDT uses greedy forwarding with its immediate neighborhood information. When a packet reaches the local maximum, the algorithm recovers it by using local Delaunay triangulation and forwards the packet using right hand rule. The algorithm not only solves the local maximum problem but also outperforms on end-to-end packet delay and delivery ratio compared to the previously proposed algorithms. The simulation results show the performance of GLDT protocol
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