AoI-energy-aware UAV-assisted data collection for IoT networks: A deep reinforcement learning method

M Sun, X Xu, X Qin, P Zhang - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Thanks to the inherent characteristics of flexible mobility and autonomous operation,
unmanned aerial vehicles (UAVs) will inevitably be integrated into 5G/B5G cellular networks …

AI-enabled IoT-edge data analytics for connected living

Z Lv, L Qiao, S Verma, Kavita - ACM Transactions on Internet …, 2021 - dl.acm.org
As deep learning, virtual reality, and other technologies become mature, real-time data
processing applications running on intelligent terminals are emerging endlessly; meanwhile …

Energy-efficient delay-aware task offloading in fog-cloud computing system for IoT sensor applications

P Singh, R Singh - Journal of Network and Systems Management, 2022 - Springer
Abstract Internet of Things (IoT) system comprises of many interrelated computing devices
and smart sensors with limited battery, processing, and storage capabilities. Due to its …

Multirate data collection using mobile sink in wireless sensor networks

CY Chang, SY Chen, IH Chang, GJ Yu… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Data collection is one of the most fundamental and important operations in applications of
wireless sensor networks (WSNs). Recent research has shown that using mobile sink to …

A novel solutions for malicious code detection and family clustering based on machine learning

H Yang, S Li, X Wu, H Lu, W Han - IEEE Access, 2019 - ieeexplore.ieee.org
Malware has become a major threat to cyberspace security, not only because of the
increasing complexity of malware itself, but also because of the continuously created and …

A game-theoretic approach for increasing resource utilization in edge computing enabled internet of things

S Kumar, R Gupta, K Lakshmanan, V Maurya - IEEE Access, 2022 - ieeexplore.ieee.org
Edge computing is a new paradigm that reduces latency and saves bandwidth by deploying
edge servers in different geographic locations. This technology plays a crucial role in the …

Seed: secure and energy efficient data-collection method for IoT network

S Arora, I Batra, A Malik, AK Luhach… - Multimedia Tools and …, 2023 - Springer
With increase in the demand of better data collection from various IoT devices, researchers
are showing more interests in providing the enhanced data collection methods to the users …

Privacy-preserving deep learning based on multiparty secure computation: A survey

Q Zhang, C Xin, H Wu - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Deep learning (DL) has demonstrated superior success in various of applications, such as
image classification, speech recognition, and anomalous detection. The unprecedented …

Survey on mobile edge-cloud computing: A taxonomy on computation offloading approaches

IA Elgendy, R Yadav - Security and Privacy Preserving for IoT and 5G …, 2022 - Springer
With the technological evolution of Internet of Things (IoT) devices and wireless
communications, a wide variety of new complex mobile applications and different services …

An overview of digital twin concept for key components of renewable energy systems

Q Li, Y He - International Journal of Robotics and Automation …, 2021 - zealpress.com
Renewable energy (RE) is green and low-carbon energy, which can not only protect the
environment, promote the technological diversification of the energy supply system …