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Design of High Speed Reconfigurable Deployment Intelligent Genetic Algorithm in Maximum Coverage Wireless Sensor Network

机译:最大覆盖无线传感器网络中的高速可重构部署智能遗传算法设计

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Deployment of sensor nodes in wireless sensor communication plays a vital role to ascertain the network connectivity and services provided. Coverage of communication and detection between nodes is one of the important dimensions used to check the quality of service provided by the network. The random positioning scheme of wireless sensor nodes does not provide efficient coverage due to the issue caused by the intersection and overlapping between two or more nodes. In our proposed work, we use a strategy to reposition the nodes to get less overlapping and improve connectivity and coverage in a wireless communication network. The results in our proposed work conclude that, our method of deployment of sensor node provide large area of coverage in comparison with a scheme having overlapped nodes. At last we also depict that our scheme of re-deployment with proposed algorithm results in removing overlapped nodes in less time while the standard genetic algorithm takes more time in producing the same result.
机译:无线传感器通信中传感器节点的部署对于确定网络连接性和提供的服务起着至关重要的作用。节点之间通信和检测的覆盖范围是用于检查网络提供的服务质量的重要维度之一。由于由两个或多个节点之间的交叉和重叠引起的问题,无线传感器节点的随机定位方案无法提供有效的覆盖范围。在我们提出的工作中,我们使用一种策略来重新定位节点,以减少重叠并改善无线通信网络中的连接性和覆盖范围。我们提出的工作结果表明,与具有重叠节点的方案相比,我们的传感器节点部署方法可提供较大的覆盖范围。最后,我们还描述了我们提出的算法的重新部署方案可以在更短的时间内消除重叠的节点,而标准遗传算法需要花费更多的时间才能产生相同的结果。

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