一种能效最大化的一体化观测网络任务调度优化方法  

Task scheduling and optimization for integrated observation network with maximum energy utilization efficiency

作　　者：杜晓明 王晓[2,3,4] 韩双双 王飞跃[2,5] DU Xiaoming;WANG Xiao;HAN Shuangshuang;WANG Feiyue(School of Economics and Management,University of Chinese Academy of Sciences,Beijing 100190,China;The State Key Laboratory for Management and Control of Complex Systems,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China;Qingdao Academy of Intelligent Industries,Qingdao 266000,China;Vehicle Intelligence Pioneers Inc.,Qingdao 266000,China;Research Center of Military Computational Experiments and Parallel Systems Technology,National University of Defense Technology,Changsha 410073,China)

机构地区：[1]中国科学院大学经济与管理学院,北京100190 [2]中国科学院自动化研究所复杂系统管理与控制国家重点实验室,北京100190 [3]青岛智能产业技术研究院,青岛266000 [4]青岛慧拓智能机器有限公司,青岛266000 [5]国防科技大学军事计算实验与平行系统技术中心,长沙410073

出　　处：《系统工程理论与实践》2021年第6期1547-1555,共9页Systems Engineering-Theory & Practice

摘　　要：本文研究如何合理分配资源以保障高效任务调度,进而有效提升一体化观测网络任务管理能效.通过引入平行智能的相关理论与方法,构建了人工一体化观测网络模型,综合考虑网络中传感节点与局部中心节点的联通概率,以延长网络寿命的任务调度优化为目标,设计计算实验获取能源使用效率最大化资源分配方案,通过资源分配参数的优化提高网络资源调度与分配的效率,从而提升网络中信息传输速率、减少延迟、提高任务调度效率.本文研究对于提升复杂一体化网络系统中任务调度能效具有重要意义.This paper studied how to allocate resources reasonably to ensure efficient task scheduling,which is important for energy efficiency optimization in integrated observation networks.The core concepts,methods and technologies of parallel intelligence are introduced to integrated observation networks.An artificial integrated observation network is constructed,in which the connection probability among sensing nodes and local central nodes are considered,for better task management and scheduling.In order to delay the life of the network,we design computational experiments to obtain the energy efficiency maximization plan,and utilize the optimization of resource allocation parameters to improve the efficiency of network resource scheduling and allocation,thereby improving the information transmission rate in the network,reducing delay,and improving the resource utilization efficiency of task scheduling.

关 键 词：一体化观测网络 任务调度 平行智能方法 能源使用效率最大化 资源分配 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]