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 …

A survey on socially aware device-to-device communications

M Ahmed, Y Li, M Waqas, M Sheraz… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
Device-to-device (D2D) communication is continuously evolving and engulfing a wide
diversity of proximate services and applications, which is considered as one of the key …

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 in mobile social networks: A QoE-oriented framework

Z Su, Q Xu, Q Qi - IEEE network, 2016 - ieeexplore.ieee.org
Due to the rapid development of mobile social networks, mobile big data play an important
role in providing mobile social users with various mobile services. However, as mobile big …

The next generation vehicular networks: A content-centric framework

Z Su, Y Hui, Q Yang - IEEE Wireless Communications, 2017 - ieeexplore.ieee.org
Due to the expanding scale of vehicles and the new demands of multimedia services,
current vehicular networks face challenges to increase capacity, support mobility, and …

UAV enabled content distribution for internet of connected vehicles in 5G heterogeneous networks

Z Su, M Dai, Q Xu, R Li, H Zhang - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The increasing development of Internet of Things (IoT) has led to the emergence of Internet
of connected vehicles (IoCVs). These vehicles with various functionalities have the potential …

A trust-driven contract incentive scheme for mobile crowd-sensing networks

M Dai, Z Su, Q Xu, Y Wang, N Lu - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
By leveraging the power of crowd, the prevalence of mobile devices in mobile crowd-
sensing (MCS) networks helps and provides a wide range of sensing services through …

Simulating opportunistic networks: Survey and future directions

J Dede, A Förster, E Hernández-Orallo… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
Simulation is one of the most powerful tools we have for evaluating the performance of
opportunistic networks (OppNets). In this paper, we focus on available tools and models …

A game theoretical incentive scheme for relay selection services in mobile social networks

Q Xu, Z Su, S Guo - IEEE Transactions on Vehicular …, 2015 - ieeexplore.ieee.org
Rapid developments in mobile services and wireless technologies have prompted users to
form mobile social networks (MSNs), where bundles can be delivered via opportunistic peer …

Rumor diffusion model based on representation learning and anti-rumor

Y Xiao, Q Yang, C Sang, Y Liu - IEEE Transactions on Network …, 2020 - ieeexplore.ieee.org
The traditional rumor diffusion model primarily studies the rumor itself and user behavior as
the entry points. The complexity of user behavior, multidimensionality of the communication …