FGCF: fault-aware green computing framework in software-defined social internet of vehicle

P Mishra, WW Godfrey, N Kumar - The Journal of Supercomputing, 2024 - Springer
The social internet of vehicle (SIoV) is a specialized network combining intelligent sensing
devices and vehicular communications to address traffic monitoring and resource …

A survey of big data machine learning applications optimization in cloud data centers and networks

SH Mohamed, TEH El-Gorashi… - arXiv preprint arXiv …, 2019 - arxiv.org
This survey article reviews the challenges associated with deploying and optimizing big data
applications and machine learning algorithms in cloud data centers and networks. The …

An Energy Efficient Local Popularity Based Cooperative Caching for Mobile Information Centric Networks

J Iqbal, Z Abideen, N Ali, SH Khan, A Rahim, A Zahir… - Sustainability, 2022 - mdpi.com
The usage of social media applications such as Youtube, Facebook, and other applications
is rapidly increasing with each passing day. These applications are used for uploading …

Optimization of Resource Allocation for V2X Security Communication based on Multi-Agent Reinforcement Learning

B Ji, B Dong, D Li, Y Wang, L Yang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In order to address the data security and communication efficiency of vehicles during high-
speed mobile communication, this paper investigates the problem of secure in-vehicle …

An energy-efficient collaborative caching scheme for 5G wireless network

M Furqan, W Yan, C Zhang, S Iqbal, Q Jan… - IEEE Access, 2019 - ieeexplore.ieee.org
CCN (Content-centric network) has emerged as a promising architecture for future 5G
network due to its in-network caching capability and receiver-driven content retrieval …

Time series representation for information gathering via low resolution wireless sensor networks

J Navarro, IM Diego… - International Journal of …, 2022 - inderscienceonline.com
New applications of the internet of things are emerging in sectors as diverse as military,
environmental, health, or food due to the improvements achieved in the development of …

Machine Learning and Future Directions

KR Makkena, A Gautam… - Data Science with …, 2023 - taylorfrancis.com
As a civilization, we gather so much data, however, we do so little efficiently with it. Super
stores gather data regarding customer transactions, provide financial accounts, and report …

ML Approach for Power Consumption Prediction in Virtualized Base Stations

M Dzaferagic, JA Ayala-Romero… - 2022 IEEE Globecom …, 2022 - ieeexplore.ieee.org
The flexibility introduced with the Open Radio Access Network (O-RAN) architecture allows
us to think beyond static configurations in all parts of the network. This paper addresses the …

Repairing confident information coverage holes for big data collection in large-scale heterogeneous wireless sensor networks

J Feng, H Chen - IEEE Access, 2019 - ieeexplore.ieee.org
The quality of service (QoS) and lifetime of wireless sensor networks (WSNs) are severely
degraded by coverage holes generated by random deployment or battery exhaustion of …

Ant colony based energy consumption optimization for mobile iot networks

HY Zhao, JC Wang, X Guan, Z Wang… - … on Internet of Things …, 2019 - ieeexplore.ieee.org
In this paper, a new algorithm is proposed for computing the node disjoint optimal
transmission energy consumption route for coded cooperative mobile IoT networks. Inspired …