Federated learning in smart city sensing: Challenges and opportunities

JC Jiang, B Kantarci, S Oktug, T Soyata - Sensors, 2020 - mdpi.com
Smart Cities sensing is an emerging paradigm to facilitate the transition into smart city
services. The advent of the Internet of Things (IoT) and the widespread use of mobile …

A survey on mobile crowdsensing systems: Challenges, solutions, and opportunities

A Capponi, C Fiandrino, B Kantarci… - … surveys & tutorials, 2019 - ieeexplore.ieee.org
Mobile crowdsensing (MCS) has gained significant attention in recent years and has
become an appealing paradigm for urban sensing. For data collection, MCS systems rely on …

Internet of Things (IoT), mobile cloud, cloudlet, mobile IoT, IoT cloud, fog, mobile edge, and edge emerging computing paradigms: Disambiguation and research …

H Elazhary - Journal of network and computer applications, 2019 - Elsevier
Currently, we are experiencing a technological shift, which is expected to change the way
we program and interact with the world. Cloud computing and mobile computing are two …

Comparison of edge computing implementations: Fog computing, cloudlet and mobile edge computing

K Dolui, SK Datta - 2017 Global Internet of Things Summit …, 2017 - ieeexplore.ieee.org
When it comes to storage and computation of large scales of data, Cloud Computing has
acted as the de-facto solution over the past decade. However, with the massive growth in …

Integration of cloud computing and internet of things: a survey

A Botta, W De Donato, V Persico, A Pescapé - Future generation computer …, 2016 - Elsevier
Cloud computing and Internet of Things (IoT) are two very different technologies that are
both already part of our life. Their adoption and use are expected to be more and more …

Data-oriented mobile crowdsensing: A comprehensive survey

Y Liu, L Kong, G Chen - IEEE communications surveys & …, 2019 - ieeexplore.ieee.org
Mobile devices equipped with rich sensors, such as smartphones, watches, or vehicles,
have been pervasively used all around the world. Their high penetration and powerful …

The role of cloudlets in hostile environments

M Satyanarayanan, G Lewis, E Morris… - IEEE Pervasive …, 2013 - ieeexplore.ieee.org
The convergence of mobile computing and cloud computing is predicated on a reliable, high-
bandwidth end-to-end network. This basic requirement is hard to guarantee in hostile …

Anticipatory mobile computing: A survey of the state of the art and research challenges

V Pejovic, M Musolesi - ACM Computing Surveys (CSUR), 2015 - dl.acm.org
Today's mobile phones are far from the mere communication devices they were 10 years
ago. Equipped with sophisticated sensors and advanced computing hardware, phones can …

Deep reinforcement scheduling for mobile crowdsensing in fog computing

H Li, K Ota, M Dong - ACM Transactions on Internet Technology (TOIT), 2019 - dl.acm.org
Mobile crowdsensing becomes a promising technology for the emerging Internet of Things
(IoT) applications in smart environments. Fog computing is enabling a new breed of IoT …

Sensus: a cross-platform, general-purpose system for mobile crowdsensing in human-subject studies

H Xiong, Y Huang, LE Barnes, MS Gerber - Proceedings of the 2016 …, 2016 - dl.acm.org
The burden of entry into mobile crowdsensing (MCS) is prohibitively high for human-subject
researchers who lack a technical orientation. As a result, the benefits of MCS remain beyond …