Big data analytics meets social media: A systematic review of techniques, open issues, and future directions

SB Abkenar, MH Kashani, E Mahdipour… - Telematics and …, 2021 - Elsevier
Abstract Social Networking Services (SNSs) connect people worldwide, where they
communicate through sharing contents, photos, videos, posting their first-hand opinions …

IoT and big data applications in smart cities: recent advances, challenges, and critical issues

M Talebkhah, A Sali, M Marjani, M Gordan… - IEEE …, 2021 - ieeexplore.ieee.org
The notion of smart cities has remained under evolution as its global implementations are
challenged by numerous technological, economic, and governmental obstacles. Moreover …

IoT-based big data secure management in the fog over a 6G wireless network

CL Stergiou, KE Psannis… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
This work proposes an innovative infrastructure of secure scenario which operates in a
wireless-mobile 6G network for managing big data (BD) on smart buildings (SBs). Count on …

Learning in the air: Secure federated learning for UAV-assisted crowdsensing

Y Wang, Z Su, N Zhang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) combined with artificial intelligence (AI) have opened a
revolutionized way for mobile crowdsensing (MCS). Conventional AI models, built on …

Software defined space-air-ground integrated vehicular networks: Challenges and solutions

N Zhang, S Zhang, P Yang, O Alhussein… - IEEE …, 2017 - ieeexplore.ieee.org
This article proposes a software defined spaceair-ground integrated network architecture for
supporting diverse vehicular services in a seamless, efficient, and cost-effective manner …

LVBS: Lightweight vehicular blockchain for secure data sharing in disaster rescue

Z Su, Y Wang, Q Xu, N Zhang - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In disaster areas, a large amount of data (eg, rescue commands, road damage, and rescue
experience) should be delivered among ground rescuing vehicles for safe driving and …

Big data driven marine environment information forecasting: a time series prediction network

J Wen, J Yang, B Jiang, H Song… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The continuous development of industry big data technology requires better computing
methods to discover the data value. Information forecast, as an important part of data mining …

Multimedia big data computing and Internet of Things applications: A taxonomy and process model

A Kumari, S Tanwar, S Tyagi, N Kumar… - Journal of Network and …, 2018 - Elsevier
With an exponential increase in the provisioning of multimedia devices over the Internet of
Things (IoT), a significant amount of multimedia data (also referred to as multimedia big data …

Green resource allocation based on deep reinforcement learning in content-centric IoT

X He, K Wang, H Huang, T Miyazaki… - … on Emerging Topics …, 2018 - ieeexplore.ieee.org
In the era of information, the green services of content-centric IoT are expected to offer users
the better satisfaction of Quality of Experience (QoE) than that in a conventional IoT …

Big data analytics for large-scale wireless networks: Challenges and opportunities

HN Dai, RCW Wong, H Wang, Z Zheng… - ACM Computing …, 2019 - dl.acm.org
The wide proliferation of various wireless communication systems and wireless devices has
led to the arrival of big data era in large-scale wireless networks. Big data of large-scale …