摘要
在分析了有向传感器网络覆盖模型特点的基础上,讨论了面向多障碍的监控区域中传感器节点的视角定向问题。基于遗传算法的工作原理提出一种用于无盲区覆盖模型的新型覆盖优化算法,构建动态优化过程以适应网络中实时变化的环境。实验结果表明,所提出的算法可以有效提高多障碍监控网络的覆盖率。
In this paper,the characteristics of coverage model for directional sensor networks are analyzed,and the problem of orientation of the sensor nodes in the surveillance area with obstacles is discussed.A novel coverage optimizing algorithm based on genetic algorithm for occlusion-free surveillance model is proposed in this paper.The dynamic optimization process is constructed for adapting the real-time changing environment.
出处
《工业控制计算机》
2017年第12期108-110,共3页
Industrial Control Computer
基金
特殊环境机器人技术四川省重点实验室开放基金(15kftk05)
关键词
有向传感器网络
多障碍
覆盖增强
遗传算法
directional sensor networks
Multi-obstacle
coverage enhancement
genetic algorithm
