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首页> 外文期刊>International journal of ad hoc and ubiquitous computing >A force-driven evolutionary approach for multi-objective 3D differentiated sensor network deployment
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A force-driven evolutionary approach for multi-objective 3D differentiated sensor network deployment

机译：多目标3D差分传感器网络部署的力驱动进化方法

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摘要

Wireless Sensor Networks (WSNs) is a wireless network consisting of spatially distributed autonomous sensors to monitor physical or environmental conditions. Deciding the location of sensor to be deployed on a terrain with different criteria is an important issue for the design of WSN. A Multi-Objective Genetic Algorithm (MOGA) with a force-driven method is proposed to solve 3D differentiated WSN deployment problems with the objectives of the coverage of sensors, satisfaction of detection levels and energy conservation. The experimental results demonstrated that the proposed approach is capable of obtaining a set of non-dominated solutions for multi-objective 3D differentiated WSN deployment problems.
机译：无线传感器网络（WSN）是由空间分布的自主传感器组成的无线网络，用于监视物理或环境状况。确定要部署在具有不同标准的地形上的传感器的位置是WSN设计的重要问题。提出了一种基于力驱动的多目标遗传算法（MOGA），以解决传感器覆盖范围，检测水平满意和节能的目的，解决了3D差分WSN部署问题。实验结果表明，所提出的方法能够为多目标3D差分WSN部署问题获得一组非支配的解决方案。

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