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首页> 外文期刊>International Journal of Swarm Intelligence and Evolutionary Computation >Topology Control of Wireless Sensor Network Using Quantum Inspired Genetic Algorithm
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Topology Control of Wireless Sensor Network Using Quantum Inspired Genetic Algorithm

机译：基于量子启发遗传算法的无线传感器网络拓扑控制

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In this work, an evolving Linked Quantum Register has been introduced, which are group vector of binary pair of genes, uses local topological space to represent those nodes. The optimal points of node for topology control have high connectivity and have low energy consumption, and have interference at low. The register works in higher dimension. In this modeling order-2 Quantum Inspired Genetic Algorithm has been used and higher order can be used to achieve greater versatility in topology control of nodes. Numerical result has been obtained, analysis is done as how the result has previously been obtained with Quantum Genetic Algorithm and results are compared too. For future work, metrics for LQR are hinted which would exploit the algorithm to work in more computational intensive problem.
机译：在这项工作中，引入了一个不断发展的链接量子寄存器，它是二进制基因对的组载体，使用局部拓扑空间来表示那些节点。用于拓扑控制的节点的最佳点具有较高的连通性和较低的能耗，并且具有较低的干扰。寄存器的尺寸更高。在该建模命令中，使用了2级量子启发遗传算法，并且可以使用更高的阶数来实现节点拓扑控制中的更大通用性。已经获得了数值结果，并通过量子遗传算法对结果进行了分析，并对结果进行了比较。对于将来的工作，暗示了LQR的度量标准，该度量标准将利用该算法来处理更多的计算密集型问题。

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