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Genetic Algorithm-Based 3D Coverage Research in Wireless Sensor Networks

机译:无线传感器网络中基于遗传算法的3D覆盖率研究

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The coverage problem of networks is one of the key issues researched in wireless sensor networks (WSNs). To find the optimal coverage solution of sensor networks is a pressing concern now. The terrain of the detection area is often more complex in the applications of three-dimensional sensor networks. In this paper, a new network coverage and optimization control strategy based on genetic algorithm is proposed to solve the deterministic coverage problem of sensor nodes. The fitness function of the associated genetic algorithm is determined on a two-dimensional plane and iterations are utilized to find optimal solutions. The simulations and results indicate that the coverage strategy is an efficient coverage strategy for the three-dimensional terrain.
机译:网络的覆盖问题是无线传感器网络(WSN)中研究的关键问题之一。寻找传感器网络的最佳覆盖解决方案是当前的紧迫问题。在三维传感器网络的应用中,检测区域的地形通常更为复杂。提出了一种基于遗传算法的网络覆盖和优化控制策略,以解决传感器节点的确定性覆盖问题。相关遗传算法的适应度函数在二维平面上确定,并利用迭代来找到最佳解。仿真和结果表明,覆盖策略是三维地形的有效覆盖策略。

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