Results 61 to 70 of about 4,569 (262)

vConnect: V2V Connectivity Prediction and Independent Task Offloading Framework in Vehicular Edge Computing

IEEE Access
Vehicular Edge Computing enables the utilization of idle resources on vehicles. Task offloading schemes have been widely investigated to satisfy the need for high computational power.
Adsadawut Chanakitkarnchok, Kiattikun Kawila, Kultida Rojviboonchai   +2 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

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

Stochastic Locomotion Emerging From Body–Environment Interactions in a Mexican Jumping Bean–Inspired Robot

Advanced Intelligent Systems, EarlyView.
Inspired by the Mexican jumping bean, this study presents a centimeter‐scale, electronics‐free robot that merges principles from both the animal and plant kingdoms. A thermo‐responsive actuator mimicking larval motion, enclosed within a uniquely shaped plant‐seed‐inspired shell, generates jumping, rolling, flipping, sliding, and climbing through ...
Ragesh Chellattoan, Alessio Mondini, Edoardo Sinibaldi, Barbara Mazzolai   +3 more
wiley   +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

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

Repositioned Kirschner Wires as a Temporary Metaphyseal Block to Prevent Articular Extension During Opening‐Wedge High Tibial Osteotomy

Arthroscopy Techniques, EarlyView.
Abstract Lateral hinge fracture is a frequent complication of medial opening‐wedge high tibial osteotomy. Previous strategies—such as inserting an additional third Kirschner wire (K‐wire) from the lateral tibial cortex—reinforce the lateral cortex but do not address the potential fracture line that propagates proximally toward the tibial plateau and ...
Luis García Bordes, Xavier Cuscó Segarra, Pedro Álvarez Díaz, Roberto Seijas Vázquez, David Barastegui Fernández, Paula Velasco Alcalde, Ramón Cugat Bertomeu   +6 more
wiley   +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