计算机科学
移动边缘计算
终端(电信)
资源配置
任务(项目管理)
最优化问题
凸优化
边缘计算
分布式计算
GSM演进的增强数据速率
接头(建筑物)
资源管理(计算)
节点(物理)
实时计算
计算机网络
正多边形
算法
人工智能
工程类
建筑工程
几何学
数学
系统工程
结构工程
作者
Jingjing Bai,Lijie Xu,Xiaoyan Zhu,Yongjian Wu
标识
DOI:10.1109/icccworkshops57813.2023.10233834
摘要
With the development of the Internet of Things (IoT), the number of mobile terminals with sensing, communication and computing (SCC) capabilities has exploded. Mobile terminals sense the task data from physical environment through cameras, sensors, etc. Then process the generated task by local computing or offloading to the edge computing node, So that the mobile terminal can make better decisions in the next time slot. In this paper, a joint optimization algorithm of task offloading and sensing-communication-computing resource allocation based on edge-terminal collaboration is proposed. Firstly, a “sensing-then-processing” protocol is adopted to coordinate the data sensing, communication and computing. A joint optimization problem of joint task offloading and resource allocation is presented for maximizing the amount of data processed by the system. Then the non-convex optimization problem is transformed into a tractable convex approximation problem, and the suboptimal solution is obtained based on a successive convex approximation (SCA) algorithm. Finally, simulation results show that proposed algorithm can effectively improve the system processing capability.
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