Mobile crowd sensing and computing: The review of an emerging human-powered sensing paradigm

B Guo, Z Wang, Z Yu, Y Wang, NY Yen… - ACM computing …, 2015 - dl.acm.org
With the surging of smartphone sensing, wireless networking, and mobile social networking
techniques, Mobile Crowd Sensing and Computing (MCSC) has become a promising …

A survey on deep learning for human mobility

M Luca, G Barlacchi, B Lepri… - ACM Computing Surveys …, 2021 - dl.acm.org
The study of human mobility is crucial due to its impact on several aspects of our society,
such as disease spreading, urban planning, well-being, pollution, and more. The …

A survey of data fusion in smart city applications

BPL Lau, SH Marakkalage, Y Zhou, NU Hassan… - Information …, 2019 - Elsevier
The advancement of various research sectors such as Internet of Things (IoT), Machine
Learning, Data Mining, Big Data, and Communication Technology has shed some light in …

Mobile ad hoc networking: milestones, challenges, and new research directions

M Conti, S Giordano - IEEE Communications Magazine, 2014 - ieeexplore.ieee.org
In this article we discuss the state of the art of (mobile) multihop ad hoc networking. This
paradigm has often been identified with the solutions developed inside the IETF MANET …

D2D fogging: An energy-efficient and incentive-aware task offloading framework via network-assisted D2D collaboration

L Pu, X Chen, J Xu, X Fu - IEEE Journal on Selected Areas in …, 2016 - ieeexplore.ieee.org
In this paper, we propose device-to-device (D2D) Fogging, a novel mobile task offloading
framework based on network-assisted D2D collaboration, where mobile users can …

Opportunistic IoT: Exploring the harmonious interaction between human and the internet of things

B Guo, D Zhang, Z Wang, Z Yu, X Zhou - Journal of Network and Computer …, 2013 - Elsevier
The traditional view of Internet of Things (IoT) attempts to connect all the physical objects to
build a global, infrastructure-based IoT. In this paper, however, we will present opportunistic …

Scikit-mobility: A Python library for the analysis, generation, and risk assessment of mobility data

L Pappalardo, F Simini, G Barlacchi… - Journal of Statistical …, 2022 - jstatsoft.org
The last decade has witnessed the emergence of massive mobility datasets, such as tracks
generated by GPS devices, call detail records, and geo-tagged posts from social media …

A comprehensive survey on mobility-aware D2D communications: Principles, practice and challenges

M Waqas, Y Niu, Y Li, M Ahmed, D **… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
Device-to-device (D2D) communication proposes a new epitome in mobile networking to
avail data exchange between physically proximate devices. The exploitation of D2D …

The Internet of People (IoP): A new wave in pervasive mobile computing

M Conti, A Passarella, SK Das - Pervasive and Mobile Computing, 2017 - Elsevier
Cyber–Physical convergence, the fast expansion of the Internet at its edge, and tighter
interactions between human users and their personal mobile devices push towardan …

Mobility models, traces and impact of mobility on opportunistic routing algorithms: A survey

S Batabyal, P Bhaumik - IEEE Communications Surveys & …, 2015 - ieeexplore.ieee.org
Mobile Opportunistic Network (MON) is characterized by intermittent connectivity where
communication largely depends on the mobility pattern of the participating nodes. In MON, a …