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首页> 外文期刊>Chinese Journal of Electronics >A Novel Sensor Deployment Method Based on Image Processing and Wavelet Transform to Optimize the Surface Coverage in WSNs
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A Novel Sensor Deployment Method Based on Image Processing and Wavelet Transform to Optimize the Surface Coverage in WSNs

机译：基于图像处理和小波变换的传感器部署新方法优化无线传感器网络的表面覆盖

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摘要

A novel sensor deployment method utilize Discrete wavelet transform (DWT) is proposed, and the DWT is used to calculate the sub-band energy entropy to ascertain the coverage cavities in Wireless sensor networks (WSNs). We address the problem of deploying a limit number of sensors to optimize the coverage ratio in 3D surface, while it is a complex surface in space and sensors can be deployed only onto it. Another novel aspect of this paper is that the method followed utilizes an Artificial bee colony algorithm with dynamic search strategy (ABC-DSS), which mimics the behavior of bees, and the new modified ABC-DSS algorithm matches the sensor deployment problems on 3D surface well. The extensive simulations illustrate that comparing with the deployment method based on Particle swarm optimization (PSO) and ABC, the ABC-DSS which utilizes the wavelet sub-band energy entropy is functional and efficient on 3D surface deployment problems.
机译：提出了一种利用离散小波变换（DWT）的传感器部署新方法，该DWT用于计算子带能量熵，从而确定无线传感器网络（WSN）的覆盖腔。我们解决了部署有限数量的传感器以优化3D表面覆盖率的问题，尽管它是空间中的复杂表面，并且只能在其上部署传感器。本文的另一个新颖之处在于，该方法采用了具有动态搜索策略的人工蜂群算法（ABC-DSS），该算法模仿了蜜蜂的行为，而新的改进的ABC-DSS算法则可以解决3D表面传感器的部署问题好。大量的仿真表明，与基于粒子群优化（PSO）和ABC的部署方法相比，利用小波子带能量熵的ABC-DSS在3D表面部署问题上具有功能和效率。

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