A Performance Study of GPSR and GRMax with Grid and Randomly Distributed Nodes in Wireless Sensor Networks

Kouakou Jean Marc Attoungble, K. Okada
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引用次数: 2

Abstract

In this paper, we study the performance of the Greedy Perimeter Stateless Routing (GPSR) [1] and the Greedy Routing for Maximum Lifetime (GRMax)[2] which is our proposal, in wireless sensor networks in random topology and grid topology wireless sensor network. We decide to compare the performance of GPSR and GRMax in different topology of networks using the same simulation environment. Evaluation and comparison of GPSR and GRMax is done through OPNET. Results show that GRMax performs better than GPSR with respect to packets delivery fraction, number of dropped packets and network lifetime. With the introduction of VIP nodes, GRMax avoid early network partition in networks with randomly distributed nodes and in networks with grid distribution nodes. Moreover, with the criteria used to choose the next hop node in GRMax, battery power resources are used efficiently. GRMax performs better than GPSR because with its algorithm, from the source to the destination GRMax uses a path close to the straight line.
基于网格和随机分布节点的无线传感器网络GPSR和GRMax性能研究
在本文中,我们研究了我们提出的贪心周长无状态路由(GPSR)[1]和贪心最大生存期路由(GRMax)[2]在随机拓扑和网格拓扑无线传感器网络中的性能。我们决定在相同的仿真环境下比较GPSR和GRMax在不同网络拓扑下的性能。通过OPNET对GPSR和GRMax进行了评价和比较。结果表明,GRMax在数据包传送率、丢包数和网络寿命方面优于GPSR。通过引入VIP节点,GRMax在节点随机分布的网络和节点网格分布的网络中避免了早期的网络分区。此外,GRMax采用了选择下一跳节点的准则,有效地利用了电池电量资源。GRMax比GPSR表现得更好,因为在它的算法中,从源到目标GRMax使用了一条接近直线的路径。
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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