Results 61 to 70 of about 30,951 (271)
In the Internet of Vehicles scenario, the in-vehicle terminal cannot meet the requirements of computing tasks in terms of delay and energy consumption; the introduction of cloud computing and MEC is an effective way to solve the above problem.
Qiliang Xu, Guo Zhang, Jianping Wang
doaj +1 more source
Parked Vehicles Task Offloading in Edge Computing
The analytical research has recently indicated that the computational resources of Connected Autonomous Vehicles (CAVs) have been wasted since almost all vehicles spend over 95% of their time in parking lots. This paper presents a collaborative computing framework to efficiently offload online computational tasks to parked vehicles (PVs) during ...
Khoa Nguyen 0001 +3 more
openaire +2 more sources
This work reveals a “Photovoltaic‐Capacitance” coupling mechanism in stacked Ga2O3/ZnO devices, defining the ZnO/graphene interface as a novel Photovoltaic Dynamic‐Capacitor (PDC). The wavelength‐selective bipolar response enables a physical layer secure communication protocol based on ternary optical logic (“1,” “0,” “−1”).
Songqi Zhao +6 more
wiley +1 more source
On the Partial Offloading to Multiple Helpers-Based Task Offloading for IoT Networks
Ubiquitous computing is a key component of future wireless communications and Internet of Things (IoT) applications. By using distributed fog computing, data obtained from sensors can be timely processed and different tasks can be computed efficiently. As a result, IoT applications can make timely decisions and improve application reliability.
Usman Mahmood Malik +4 more
openaire +2 more sources
Abstract Soft robots, engineered from highly compliant materials, offer superior adaptability and safety in unstructured environments compared to their rigid counterparts. Recent advancements, fueled by bio‐inspiration and material programmability, have led to the rapid co‐evolution of their core modules: actuation, sensing, protection, energy, and ...
Qiulei Liu +3 more
wiley +1 more source
Multifactorial Screening for Fine‐Scale Selection of CCS Industrial Clusters and Hubs in Brazil
ABSTRACT As Brazil moves toward implementing its decarbonization commitments, carbon capture and storage (CCS) hubs are emerging as a key pathway for large‐scale CO2 abatement in hard‐to‐abate sectors. This paper presents a multifactorial, data‐driven framework to screen and prioritize potential CCS industrial clusters and hubs across Brazilian regions,
Gustavo P. Oliveira +5 more
wiley +1 more source
Research on C-V2X Task Offloading Based on Deep Reinforcement Learning [PDF]
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
A Probability Preferred Priori Offloading Mechanism in Mobile Edge Computing
Mobile edge computing (MEC) can provide computation and storage capabilities via edge servers which are closer to user devices (UDs). The MEC offloading system can be viewed as a system where each UD is covered by single or multiple edge servers ...
Jin Wang +7 more
doaj +1 more source
Cost Analysis Insights for Offshore CCS Hubs: A Case Study of the Santos Basin, Brazil
ABSTRACT The reuse of decommissioned offshore platforms for geological carbon storage offers a cost‐effective and technically feasible strategy to reduce greenhouse gas emissions in emerging economies. This study presents a comprehensive techno‐economic assessment of offshore carbon capture and storage (CCS) hubs in Brazil, with a focus on the Merluza ...
Norah A. Ordoñez +4 more
wiley +1 more source
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 +2 more
doaj +1 more source

