摘要
针对现有海洋监测网受限于光缆技术可达深度及传统集中式处理的网络架构存在中心节点压力大的问题,提出了一种面向海洋监测的海空地协同边缘计算架构。在该架构中,水声传感器网络是海洋数据监测平台,协同边缘计算架构将复杂处理任务从远程云中心分散至边缘端,将水下异常数据传达到边缘端进行预处理后,再上传到云数据中心,必要时发出预警。针对水下传感器容易出现能量不足、链路中断的问题,提出了水下滑翔机辅助拓扑控制算法。该算法中终端节点和边缘节点呈3∶1比例部署,通过节点的链路失效模型判断失效概率,当超出失效概率阈值时,便通知水下滑翔机利用改进的粒子群优化算法执行拓扑修复,并以覆盖率和连通性最大为优化目标求解最优修复位置。仿真结果表明:所提新架构端到端时延约为传统架构的1/3,能量效率得到明显提升;与传统深度调节方法对比,所提拓扑控制算法覆盖率与连通度提升至87.9%、9.3。
Aiming at the problem that the existing marine monitoring network is limited by the reachable depth of optical cable technology,and the heavy pressure of central node caused by traditional centralized processing network architecture,a sea-air-ground collaborative edge computing architecture for marine monitoring was proposed.In this architecture,the underwater acoustic sensor network is a platform for marine data monitoring,and the collaborative edge computing architecture disperses complex processing tasks from the remote cloud center to the edge,and transmits the underwater abnormal data to the edge for preprocessing before uploading it to the cloud data center,giving an early warning if necessary.In addition,in view of the problems that underwater sensors are prone to energy shortage and link interruption,an autonomous underwater glider-assisted topology control algorithm was proposed.In this algorithm,terminal nodes and edge nodes are deployed at a ratio of 3∶1,and the failure probability is judged through the node’s link failure model.When the failure probability threshold is exceeded,the underwater glider is notified to use the improved particle swarm optimization algorithm to perform topology repair,and the optimal repair location is solved with the optimization goal of maximum coverage and connectivity.The simulation results showed that the end-to-end delay of the proposed new architecture is about 1/3 of the traditional architecture,and the energy efficiency is significantly improved;compared with the traditional deep adjustment method,the coverage and connectivity of the proposed topology control algorithm are increased to 87.9%and 9.3.
作者
金志刚
尹欢
洪叶
苏毅珊
JIN Zhigang;YIN Huan;HONG Ye;SU Yishan(School of Electrical and Information Engineering,Tianjin University,Tianjin 300072,China;School of International Engineering,Tianjin University,Tianjin 300072,China)
出处
《西安交通大学学报》
EI
CAS
CSCD
北大核心
2023年第6期47-55,共9页
Journal of Xi'an Jiaotong University
基金
国家自然科学基金资助项目(52171337,62171310)。
关键词
水声无线传感器网络
海洋监测
拓扑控制
海空地一体架构
边缘计算
underwater acoustic sensor network
marine monitoring
topology control
sea-air-ground architecture
edge computing
