Results 31 to 40 of about 4,861 (115)

Research on C-V2X Task Offloading Based on Deep Reinforcement Learning [PDF]

Jisuanji gongcheng
The rapid development of driverless and assisted driving technologies has created a significant demand for enhanced vehicle computing performance.
HE Jie, MA Qiang
doaj   +1 more source

Contract-Based Computing Resource Management via Deep Reinforcement Learning in Vehicular Fog Computing

IEEE Access, 2020
Vehicle fog computing (VFC) is proposed as a solution that can significantly reduce the task processing overload of base station during the peak time, where the vehicle as a fog node contributes idle computing resource for task processing. However, there
Junhui Zhao, Ming Kong, Qiuping Li, Xiaoke Sun   +3 more
doaj   +1 more source

Cognitive offloading as a strategy to ease working memory overload

Acta Psychologica
Cognitive offloading by notetaking is a valuable strategy to support working memory performance. This is especially true when the required mental load of a task exceeds one's working memory capacity.
Danielle Troxel, Denver Saunders, Sureena Deol, Anh N. Tang, Alexandra B. Morrison   +4 more
doaj   +1 more source

Research on Task Offloading of Mobile Edge Computing for Caching Mechanism [PDF]

Jisuanji gongcheng
As the Mobile Edge Computing (MEC) environment faces increasing user demands, the problems of delay and energy consumption stemming from the limited computing and storage resources of mobile devices are becoming increasingly prominent.
Jiao CHEN, Yan SHEN
doaj   +1 more source

Energy-Efficient Joint Partitioning and Offloading for Delay-Sensitive CNN Inference in Edge Computing

Applied Sciences
With the development of deep learning foundation model technology, the types of computing tasks have become more complex, and the computing resources and memory required for these tasks have also become more substantial.
Zhiyong Zha, Yifei Yang, Yongjun Xia, Zhaoyi Wang, Bin Luo, Kaihong Li, Chenkai Ye, Bo Xu, Kai Peng   +8 more
doaj   +1 more source

Dhrystone million instructions per second–based task offloading from smartwatch to smartphone

International Journal of Distributed Sensor Networks, 2017
Wearable devices such as smartwatches are critical to energy consumption due to their small battery size. To reduce possible energy consumption for high computational tasks, task offloading is a solution, but smartwatches are usually connected to ...
Jongwon Lee, Jaejun Ko, Young-June Choi
doaj   +1 more source

Task Offloading Optimization Using PSO in Fog Computing for the Internet of Drones

Drones
Recently, task offloading in the Internet of Drones (IoD) is considered one of the most important challenges because of the high transmission delay due to the high mobility and limited capacity of drones.
Sofiane Zaidi, Mohamed Amine Attalah, Lazhar Khamer, Carlos T. Calafate   +3 more
doaj   +1 more source

Reputation-Aware Multi-Agent Cooperative Offloading Mechanism for Vehicular Network Attack Scenarios

Vehicles
The air–ground integrated Internet of Vehicles (IoV), which incorporates unmanned aerial vehicles (UAVs), is a key component of a three-dimensional intelligent transportation system.
Liping Ye, Na Fan, Junhui Zhang, Yexiong Shang, Yu Shi, Wenjun Fan   +5 more
doaj   +1 more source

A Task Offloading Optimization Scheme Combining V2I and V2V [PDF]

Jisuanji gongcheng
In vehicle edge computing systems, individual vehicles frequently encounter difficulties in executing computation-intensive tasks due to their constrained processing capacities.
NI Sujie, CHEN Bing, SHI You
doaj   +1 more source

Research on Task-Offloading Delay in the IoV Based on a Queuing Network

IEEE Access
In this paper, we address the challenge of task offloading for mobile edge computing in the Internet of Vehicles (IoV). We employ a closed queuing network model to analyze the optimal server load percentage, focusing on the response time of tasks.
Jingyun Wei, Xiangyang Liang
doaj   +1 more source