基于改进AFSA算法的智慧农业监测网络研究
Research on Intelligent Agriculture Monitoring Network Based on Improved AFSA Algorithm
闫好明 1刘洋1
作者信息
- 1. 南阳农业职业学院,河南 南阳 473000
- 折叠
摘要
智慧化农业监测实际上是将无线传感器网络应用于农业监测场景中实时采集农田、气象、养殖等方面的数据.多个微小型嵌入式系统相互协作共同构成无线传感器网络,可实时监测、感知、收集和处理环境信息,并以无线通信方式进行信息交互.无线传感器网络覆盖是无线传感器网络监测的基础,直接影响网络感知质量.建立了面向农业场景的无线传感器网络覆盖问题模型,提出了一种基于改进人工鱼群算法的覆盖优化策略,提高了网络覆盖率和算法收敛性,得到最优网络传感器节点覆盖.
Abstract
Intelligent agricultural monitoring is actually the application of wireless sensor networks in agricultural monitoring scenar-ios to collect real-time farmland,weather,aquaculture and other aspects of data.Multiple micro-embedded systems cooperate to form a wireless sensor network,which can monitor,sense,collect and process environmental information in real time,and carry out infor-mation interaction by wireless communication.Wireless sensor network coverage is the basis of wireless sensor network monitoring,which directly affects the perceived quality of the network.The coverage problem model of wireless sensor networks for agricultural scenarios is established,and an optimal coverage optimization strategy based on improved artificial fish swarm algorithm is pro-posed,which improves the network coverage and algorithm convergence,and obtains the optimal sensor node coverage.
关键词
智慧农业/无线传感器网络/人工鱼群算法Key words
intelligent agriculture/wireless sensor network/artificial fish swarm algorithms引用本文复制引用
出版年
2024
NETL
NSTL
万方数据