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The Topological Structure Optimization for Large Scale Wireless Sensor Network

机译:大型无线传感器网络的拓扑结构优化

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In this paper, the topological structure optimization problem in a wireless sensor network is formulated as a graph problem, while fulfilling random node-to-node communication demands. We propose a new optimization method: un-detour optimization, which is a kind of improved genetic algorithm. Base on this method, a topological structure optimization plan for a given sensor network can be built. We evaluate this approach quantitatively by simulating community wireless sensor networks and comparing it with other approaches. We demonstrate that significant performance advantages can be achieved by this approach.
机译:在本文中,无线传感器网络中的拓扑结构优化问题被制定为图问题,同时满足随机节点到节点通信需求。我们提出了一种新的优化方法:Un-Detour优化,这是一种改进的遗传算法。基于该方法,可以构建给定传感器网络的拓扑结构优化计划。我们通过模拟社区无线传感器网络并将其与其他方法进行比较来定量评估这种方法。我们证明可以通过这种方法实现显着的性能优势。

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