基于人工鱼群算法的网络覆盖优化方法研究  

Research on Network Coverage Optimization Method Based on Artificial Fish Swarm Algorithm

作　　者：汤隆[1] TANG Long(Modern Educational Technology Center,Fuzhou Polytechnic,Fuzhou 350108,China)

机构地区：[1]福州职业技术学院现代教育技术中心,福建福州350108

出　　处：《自动化仪表》2025年第4期97-100,106,共5页Process Automation Instrumentation

摘　　要：无线传感网络随机部署移动节点时存在分布不均匀的问题,降低了网络带宽容量和网络覆盖率。为解决上述问题,基于人工鱼群算法的创新点,设计了网络覆盖优化方法。首先,分类处理不同角度的信号,设置多个基站,利用传感器的覆盖能力接收信号,并确定目标函数。然后,将设置的目标函数作为训练目标,对人工鱼群算法进行预训练,并建立网络覆盖模型。最后,确定人工鱼群算法优化后的节点检测范围,以实现网络覆盖优化。试验结果表明,所提方法随着迭代次数和感知半径的增加,覆盖率逐渐稳定。所提方法能够提高网络覆盖率,并在短时间内找到最优解,从而满足设计需求。Wireless sensor networks have the problem of uneven distribution when randomly deploying mobile nodes,which reduces the network bandwidth capacity and network coverage.To solve the above problems,a network coverage optimization method is designed based on the innovation point of artificial fish swarm algorithm.Firstly,the signals from different angles are classified and processed,multiple base stations are set up to receive signals using the coverage capacity of sensors,and the objective function is determined.Then,the set objective function is used as the training target to pre-train the artificial fish swarm algorithm and establish the network coverage model.Finally,the optimized node detection range of the artificial fish swarm algorithm is determined to achieve network coverage optimization.The experimental results show that the proposed method gradually stabilizes the coverage with the increase of the number of iterations and the sensing radius.The proposed method can improve the network coverage and find the optimal solution in a short time to meet the design requirements.

关 键 词：人工鱼群算法 无线传感网络 网络覆盖 目标函数 节点信号 

分 类 号：TH701[机械工程—仪器科学与技术]