Device-enhanced MEC: Multi-access edge computing (MEC) aided by end device computation and caching: A survey

M Mehrabi, D You, V Latzko, H Salah… - IEEE …, 2019 - ieeexplore.ieee.org
Multi-access edge computing (MEC) has recently been proposed to aid mobile end devices
in providing compute-and data-intensive services with low latency. Growing service …

Social Internet of Things (SIoT): Foundations, thrust areas, systematic review and future directions

MS Roopa, S Pattar, R Buyya, KR Venugopal… - Computer …, 2019 - Elsevier
Abstract Internet of Things (IoT) paradigm connects physical world and cyberspace via
physical objects and facilitate the development of smart applications and infrastructures. A …

The ONE simulator for DTN protocol evaluation

A Keränen, J Ott, T Kärkkäinen - … of the 2nd international conference on …, 2009 - dl.acm.org
Delay-tolerant Networking (DTN) enables communication in sparse mobile ad-hoc networks
and other challenged environments where traditional networking fails and new routing and …

Data offloading techniques in cellular networks: A survey

F Rebecchi, MD De Amorim, V Conan… - … Surveys & Tutorials, 2014 - ieeexplore.ieee.org
One of the most engaging challenges for mobile operators today is how to manage the
exponential data traffic increase. Mobile data offloading stands out as a promising and low …

Caching in vehicular named data networking: Architecture, schemes and future directions

C Chen, C Wang, T Qiu… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
The TCP/IP stack plays an important role in terms of data transmission, traffic control and
address assignment in the Internet of Vehicles (IoV), which has seen phenomenal growth in …

Exploiting massive D2D collaboration for energy-efficient mobile edge computing

X Chen, L Pu, L Gao, W Wu… - IEEE Wireless …, 2017 - ieeexplore.ieee.org
In this article we propose a novel D2D Crowd framework for 5G mobile edge computing,
where a massive crowd of devices at the network edge leverage network-assisted D2D …

Analyzing large-scale human mobility data: a survey of machine learning methods and applications

E Toch, B Lerner, E Ben-Zion, I Ben-Gal - Knowledge and Information …, 2019 - Springer
Human mobility patterns reflect many aspects of life, from the global spread of infectious
diseases to urban planning and daily commute patterns. In recent years, the prevalence of …

Bonnmotion: a mobility scenario generation and analysis tool

N Aschenbruck, R Ernst, E Gerhards-Padilla… - 3rd International ICST …, 2010 - eudl.eu
Simulation and emulation are techniques frequently used for performance evaluation of
wireless multi-hop networks. If the wireless devices are mobile, the movement patterns of …

Slaw: A new mobility model for human walks

K Lee, S Hong, SJ Kim, I Rhee… - IEEE INFOCOM 2009, 2009 - ieeexplore.ieee.org
Simulating human mobility is important in mobile networks because many mobile devices
are either attached to or controlled by humans and it is very hard to deploy real mobile …

Human mobility models for opportunistic networks

D Karamshuk, C Boldrini, M Conti… - IEEE Communications …, 2011 - ieeexplore.ieee.org
Mobile ad hoc networks enable communications between clouds of mobile devices without
the need for a preexisting infrastructure. One of their most interesting evolutions are …