摘要
数据传输与通信算法是当前船联网研究中的重要方向,为解决船联网中数据传输时延长、无线传输功率低的问题,本文提出了一种改进的船联网智能数据传输和通信算法。首先,利用分簇算法对所有船舶实施分簇,选取每簇最优的簇头;然后,建立基于位置和速度信息的船舶通信组网方式,应用粒子群(PSO)算法实现对最优路径的选择,实现海洋观测数据的快速回传;最后,通过实验仿真验证了本文所提方法的有效性。
Data transmission and communication algorithm is an important direction in the current research of ship networking.In order to solve the shortcomings of current data transmission and communication algorithm,such as large data delay and low power of wireless data transmission,an improved intelligent data transmission and communication algorithm for ship networking is proposed.Firstly,the clustering algorithm is used to cluster all ships,and the optimal cluster head is selected for each cluster.Then,the ship communication networking mode based on position and speed information is established.Particle swarm optimization(PSO)algorithm is used to select the optimal path and realize the fast return of ocean observation data.Finally,the validity of the proposed method is verified by the simulation of experiment.Therefore,it has good engineering practical value.
作者
王栽毅
杨照
Wang Zaiyi;Yang Zhao(College of Information Science and Engineering, Ocean University of China, Qingdao 266100, China;Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266237, China)
出处
《中国海洋大学学报（自然科学版）》
CAS
CSCD
北大核心
2021年第7期108-114,共7页
Periodical of Ocean University of China
基金
青岛海洋科学与技术鳌山科学技术创新工程国家实验室项目(2016askj07-4)资助。
关键词
数据传输
船联网
分簇算法
通信组网
粒子群算法
data transmission
ship networking
clustering algorithm
communication networking
particle swarm optimization
