Incentive techniques for the internet of things: a survey

PKR Maddikunta, QV Pham, DC Nguyen… - Journal of Network and …, 2022 - Elsevier
Abstract The Internet of Things (IoT) has remarkably evolved over the last few years to
realize a wide range of newly emerging services and applications empowered by the …

Cyber-security and reinforcement learning—a brief survey

AMK Adawadkar, N Kulkarni - Engineering Applications of Artificial …, 2022 - Elsevier
This paper presents a comprehensive literature review on Reinforcement Learning (RL)
techniques used in Intrusion Detection Systems (IDS), Intrusion Prevention Systems (IPS) …

Consortium blockchain-based spectrum trading for network slicing in 5G RAN: A multi-agent deep reinforcement learning approach

GO Boateng, G Sun, DA Mensah… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Network slicing (NS) is envisioned as an emerging paradigm for accommodating different
virtual networks on a common physical infrastructure. Considering the integration of …

Wireless edge caching based on content similarity in dynamic environments

X Wei, J Liu, Y Wang, C Tang, Y Hu - Journal of Systems Architecture, 2021 - Elsevier
Edge caching could greatly relieve the burden of the backbone network and reduce the
content request latency experienced by end-user devices. This makes edge caching a …

Blockchain-enabled resource trading and deep reinforcement learning-based autonomous RAN slicing in 5G

GO Boateng, D Ayepah-Mensah… - … on Network and …, 2021 - ieeexplore.ieee.org
The advent of radio access network (RAN) slicing is envisioned as a new paradigm for
accommodating different virtualized networks on a single infrastructure in 5G and beyond …

Many-objective cloud manufacturing service selection and scheduling with an evolutionary algorithm based on adaptive environment selection strategy

T Wang, P Zhang, J Liu, M Zhang - Applied Soft Computing, 2021 - Elsevier
Cloud manufacturing service selection and scheduling (CMSSS) problem has obtained wide
attentions in recent years. However, most existing methods describe this problem as single …

JORA: Blockchain-based efficient joint computing offloading and resource allocation for edge video streaming systems

S Yuan, J Li, C Wu - Journal of Systems Architecture, 2022 - Elsevier
Edge computing has been widely applied in video streaming systems, aiming to provide low-
latency video streaming services. However, limited resources and a lack of incentivization …

Joint user association and resource pricing for metaverse: Distributed and centralized approaches

X Huang, W Zhong, J Nie, Q Hu, Z Xiong… - 2022 IEEE 19th …, 2022 - ieeexplore.ieee.org
Metaverse as the next-generation Internet provides users with physical-virtual world
interactions. To improve the quality of immersive experience, users access to Metaverse …

Blockchain-based computing resource trading in autonomous multi-access edge network slicing: A dueling double deep Q-learning approach

T Kwantwi, G Sun, NAE Kuadey… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
We investigate the computing resource allocation in multi-access edge network slicing (NS)
in the context of revenue and multi-access edge computing (MEC) resource management …

[HTML][HTML] DONS: Dynamic Optimized Neighbor Selection for smart blockchain networks

H Baniata, A Anaqreh, A Kertesz - Future Generation Computer Systems, 2022 - Elsevier
Blockchain (BC) systems mainly depend on the consistent state of the Distributed Ledger
(DL) at different logical and physical places of the network. The majority of network nodes …