TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Emotion-aware Task Scheduling for Autonomous Vehicles in Software-defined Edge Networks |
| 영문제목(English Title) |
Emotion-aware Task Scheduling for Autonomous Vehicles in Software-defined Edge Networks |
| 저자(Author) |
Mengmeng Sun
Lianming Zhang
Jing Mei
Pingping Dong
|
| 원문수록처(Citation) |
VOL 16 NO. 11 PP. 3523 ~ 3543 (2022. 11) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Autonomous vehicles are gradually being regarded as the mainstream trend of future development of the automobile industry. Autonomous driving networks generate many intensive and delay-sensitive computing tasks. The storage space, computing power, and battery capacity of autonomous vehicle terminals cannot meet the resource requirements of the tasks. In this paper, we focus on the task scheduling problem of autonomous driving in software-defined edge networks. By analyzing the intensive and delay-sensitive computing tasks of autonomous vehicles, we propose an emotion model that is related to task urgency and changes with execution time and propose an optimal base station (BS) task scheduling (OBSTS) algorithm. Task sentiment is an important factor that changes with the length of time that computing tasks with different urgency levels remain in the queue. The algorithm uses task sentiment as a performance indicator to measure task scheduling. Experimental results show that the OBSTS algorithm can more effectively meet the intensive and delay-sensitive requirements of vehicle terminals for network resources and improve user service experience. |
| 키워드(Keyword) |
software-defined edge network
autonomous vehicles
emotion model
task scheduling
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| 파일첨부 |
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