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基于遗传算法的露天矿边坡检测传感网络优化 被引量:5

Optimization of Wireless Sensor Networks in Open-pit Mine Slope Detection Based on Genetic Algorithms
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摘要 将无线传感网络技术结合到露天矿边坡检测系统中,当露天矿边坡出现异常时,及时将信息传递给监测人员,避免出现不必要的损失;将遗传算法应用于边坡检测无线传感网络的多目标优化设计中,设计了边坡检测网络的组网策略,制定了适当的编码机制,并结合多方面重要参数,建立了适应度函数;仿真表明:基于遗传算法的网络设计优化了能量管理,使网络生命周期达到最长。 The Wireless Sensor Networks technology is employed in the open--pit mine slope detection system, when the open--pit mine slope is found abnormal, the Wireless Sensor Networks transmit data to the monitors timely to prevent the unnecessary losses. Genetic algo- rithms can be used in the multi--objective optimization problem of slope detection with Wireless Sensor Networks. It's for designing networ king strategy of slope detection system. Appropriate encoding mechanism is worked out. Combining with various important parameters, the fitness function is established. Simulation results show: Energy management is optimized with the Wireless Sensor Network based on genetic algorithms and guarantee maximum life span of the network.
出处 《计算机测量与控制》 CSCD 北大核心 2011年第2期483-486,共4页 Computer Measurement &Control
关键词 遗传算法 适应度函数 无线传感网络 genetic algorithms fitness function wireless sensor networks
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参考文献7

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