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Genetic Algorithm-Based Routing Performance Enhancement in Wireless Sensor Networks

机译：基于遗传算法的无线传感器网络路由性能增强

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摘要

This paper presents a series of different routing techniques to be implemented in a wireless sensor network and we consider two main cases. In the first case, we tested both Dijkstra algorithm (DA) and genetic algorithm (GA). In the second case, we have tested and compared the traditional Ad hoc On-Demand Distance Vector Routing protocol (AODV) to the advanced genetic algorithm based AODV Routing protocol (GA-AODV) and the GA only. GA and GA-AODV techniques help in enhancing the performance of the wireless sensor network during link failures. In this case, we have tested routing algorithms while it is considered having faulty nodes to be 15.6% and 31.25% of the functioning nodes. We use simulation to test the algorithms while assuming different mobility speeds of the nodes. Results prove that GA should be used in different network configurations to obtain a better performance in the wireless sensor network.
机译：本文介绍了一系列不同的路由技术，可以在无线传感器网络中实现，我们考虑两个主要情况。在第一种情况下，我们测试了Dijkstra算法（DA）和遗传算法（GA）。在第二种情况下，我们已经测试并将传统的Ad Hoc按需距离向量路由协议（AODV）与基于ADDV路由协议（GA-AODV）和GA的高级遗传算法进行了比较。 GA和GA-AODV技术有助于在链接故障期间提高无线传感器网络的性能。在这种情况下，我们已经测试了路由算法，而虽然有错误的节点是15.6 ％和31.25 ％的功能节点。我们使用模拟来测试算法，同时假设节点的不同移动速度。结果证明了GA应在不同的网络配置中使用，以在无线传感器网络中获得更好的性能。

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