Research on Wireless Sensor Network Layout Based on Improved Fruit Fly Optimization Algorithm

WU Liang-chao; GUO Xing

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Research on Wireless Sensor Network Layout Based on Improved Fruit Fly Optimization Algorithm

更新时间：2026-09-04

- Research on Wireless Sensor Network Layout Based on Improved Fruit Fly Optimization Algorithm
- Vol. 33, Issue 12, Pages: 152-155(2016)
- 作者机构：
  
  1. 安徽大学计算智能与信号处理重点实验室,安徽,合肥,230039
  2. 安徽大学计算机科学与技术学院,安徽,合肥,230601
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2016
- 稿件说明：
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吴良超, 郭星. 基于改进果蝇算法的无线传感网络布局研究[J]. 微电子学与计算机, 2016, 33(12): 152-155, 160.

WU Liang-chao, GUO Xing. Research on Wireless Sensor Network Layout Based on Improved Fruit Fly Optimization Algorithm[J]. 2016, 33(12): 152-155.
吴良超, 郭星. 基于改进果蝇算法的无线传感网络布局研究[J]. 微电子学与计算机, 2016, 33(12): 152-155, 160. DOI：

WU Liang-chao, GUO Xing. Research on Wireless Sensor Network Layout Based on Improved Fruit Fly Optimization Algorithm[J]. 2016, 33(12): 152-155. DOI：

摘要

提出一种改进的果蝇算法

并将其应用于WSN问题.果蝇算法具有参数少、结构简单、全局搜索能力强、收敛速度快等特点

将改进的果蝇算法用于WSN节点优化部署

可以快速得到解集

并且具有很高的覆盖率.通过仿真实验

可以看出改进的果蝇算法相比于原始果蝇算法及其他智能算法具有更快的收敛速度和更高的收敛精度

结果更接近理论值.

Abstract

This paper presents an improved algorithm for FOA

and apply it to WSN problem.The FOA has the characteristics of less parameters

simple structure

strong global search ability and fast convergence speed

the improved algorithm is used to optimize the WSN nodes deployment

which can quickly get the solution set

and has a high coverage rate.Through simulation experiments

we can see that the improved algorithm has faster convergence speed and higher convergence precision compared to the original FOA and other intelligent algorithms

and the results are more close to the theoretical value.

关键词

Keywords

references

宁剑平, 王冰, 李洪儒, 等. 递减步长果蝇优化算法及应用[J]. 深圳大学学报: 理工版, 2014, 31(4): 367-373. DOI: 367

宋明智, 杨乐. 基于改进自适应PSO算法的WSN覆盖优化方法[J]. 计算机应用研究, 2013, 30(11): 3472-3475. DOI: 3472

马超, 董玲. 果蝇优化算法(FOA)步长改进及其多元函数最优化方法[J]. 数学学习与研究(教研版), 2013, 13(1): 90-92. DOI: 90

韩俊英, 刘成忠. 自适应调整参数的果蝇优化算法[J]. 计算机工程与应用, 2014, 50(7): 50-55. DOI: 50

汪成亮, 王强. 基于活动预测和能耗均衡的WSN路由算法[J]. 北京航空航天大学学报, 2014, 40(1): 10-17. DOI: 10

徐富强, 陶有田, 吕洪升. 一种改进的果蝇优化算法[J]. 苏州大学学报(自然科学版), 2014, 29(1): 16-23. DOI: 16

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