Reinforcement learning methods for computation offloading: a systematic review

Z Zabihi, AM Eftekhari Moghadam… - ACM Computing …, 2023 - dl.acm.org
Today, cloud computation offloading may not be an appropriate solution for delay-sensitive
applications due to the long distance between end-devices and remote datacenters. In …

Computation offloading method using stochastic games for software-defined-network-based multiagent mobile edge computing

G Wu, H Wang, H Zhang, Y Zhao… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
In the scenario of Industry 4.0, mobile smart devices (SDs) on production lines have to
process massive amounts of data. These computing tasks sometimes far exceed the …

[HTML][HTML] DRL-assisted delay optimized task offloading in automotive-industry 5.0 based VECNs

MA Mirza, J Yu, S Raza, M Krichen, M Ahmed… - Journal of King Saud …, 2023 - Elsevier
The rapid growth of Automotive-Industry 5.0 and its emergence with beyond fifth-generation
(B5G) communications, is making vehicular edge computing networks (VECNs) increasingly …

[HTML][HTML] Task offloading in hybrid-decision-based multi-cloud computing network: a cooperative multi-agent deep reinforcement learning

J Chen, P Chen, X Niu, Z Wu, L Xiong, C Shi - Journal of Cloud Computing, 2022 - Springer
Multi-cloud computing is becoming a promising paradigm to provide abundant computation
resources for Internet-of-Things (IoT) devices. For a multi-device multi-cloud network, the …

Energy efficient UAV-based last-mile delivery: A tactical-operational model with shared depots and non-linear energy consumption

ME Bruni, S Khodaparasti, G Perboli - IEEE Access, 2023 - ieeexplore.ieee.org
This paper studies the drone-aided last-mile delivery problem with shared depot resources.
Our research motivation comes from E-commerce logistics, where big companies such as …

Heating-cooling monitoring and power consumption forecasting using lstm for energy-efficient smart management of buildings: A computational intelligence solution …

O Akbarzadeh, S Hamzehei, H Attar… - Tsinghua Science …, 2023 - ieeexplore.ieee.org
Energy management in smart homes is one of the most critical problems for the Quality of
Life (QoL) and preserving energy resources. One of the relevant issues in this subject is …

Distributed age-of-information optimization in edge computing for internet of vehicles

L Yang, Y Zou, D Yu, J Yu - Journal of Systems Architecture, 2023 - Elsevier
As an important concept to depict the freshness of an information when it arrives at the
destination, the Age-of-Information (AoI) and its relative scheduling works can be a very …

Energy-efficient and security-aware task offloading for multi-tier edge-cloud computing systems

W Almuseelem - IEEE Access, 2023 - ieeexplore.ieee.org
Recently, edge-cloud computing (ECC) has emerged as a new paradigm for alleviating the
intensive overhead for mobile IoT applications. However, data security remains a significant …

Application of graph learning with multivariate relational representation matrix in vehicular social networks

L Wan, X Li, J Xu, L Sun, X Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The essence of connection in vehicle network is the social relationship between people, and
thus Vehicular Social Networks (VSNs), characterized by social aspects and features, can …

Design and application of intelligent classroom for English language and literature based on artificial intelligence technology

X Zhang, J Sun, Y Deng - Applied Artificial Intelligence, 2023 - Taylor & Francis
The phenomenon of economic globalization has led to a greater intermingling of economy
and culture, which has brought about new demands for innovative talent cultivation in …