DMRO: A deep meta reinforcement learning-based task offloading framework for edge-cloud computing
With the explosive growth of mobile data and the unprecedented demand for computing
power, resource-constrained edge devices cannot effectively meet the requirements of …
power, resource-constrained edge devices cannot effectively meet the requirements of …
Collaborate edge and cloud computing with distributed deep learning for smart city internet of things
City Internet-of-Things (IoT) applications are becoming increasingly complicated and thus
require large amounts of computational resources and strict latency requirements. Mobile …
require large amounts of computational resources and strict latency requirements. Mobile …
Forecasting of forex time series data based on deep learning
L Ni, Y Li, X Wang, J Zhang, J Yu, C Qi - Procedia computer science, 2019 - Elsevier
This paper proposes a C-RNN forecasting method for Forex time series data based on deep-
Recurrent Neural Network (RNN) and deep Convolutional Neural Network (CNN), which …
Recurrent Neural Network (RNN) and deep Convolutional Neural Network (CNN), which …
wChain: A fast fault-tolerant blockchain protocol for multihop wireless networks
This paper presents, a blockchain protocol specifically designed for multihop wireless
networks that deeply integrates wireless communication properties and blockchain …
networks that deeply integrates wireless communication properties and blockchain …
Distributed consensus for blockchains in internet-of-things networks
In recent years, due to the wide implementation of mobile agents, the Internet-of-Things (IoT)
networks have been applied in several real-life scenarios, servicing applications in the …
networks have been applied in several real-life scenarios, servicing applications in the …
Implementing the abstract MAC layer in dynamic networks
Dynamicity is one of the most challenging, yet, key aspects of wireless networks. It can come
in many guises, such as churn (node insertion/deletion) and node mobility. Although the …
in many guises, such as churn (node insertion/deletion) and node mobility. Although the …
BLOWN: A blockchain protocol for single-hop wireless networks under adversarial SINR
Known as a distributed ledger technology (DLT), blockchain has attracted much attention
due to its properties such as decentralization, security, immutability and transparency, and …
due to its properties such as decentralization, security, immutability and transparency, and …
Watchdog: Detecting ultrasonic-based inaudible voice attacks to smart home systems
J Mao, S Zhu, X Dai, Q Lin, J Liu - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Internet of Things is a critical infrastructure component as well as an enabling technology to
support the fast-developing cross-region, cross-application, and diversified collaborative …
support the fast-developing cross-region, cross-application, and diversified collaborative …
Distributed byzantine-resilient multiple-message dissemination in wireless networks
The byzantine model is widely used to depict a variety of node faults in networks. Previous
studies on byzantine-resilient protocols in wireless networks assume reliable …
studies on byzantine-resilient protocols in wireless networks assume reliable …
Byzantine fault tolerant consensus in open wireless networks via an abstract mac layer
The openness of wireless networks opens the door to Byzantine attacks on the physical
channels, making the communications unreliable and resulting in more challenges in …
channels, making the communications unreliable and resulting in more challenges in …