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 …

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 …

MIST: Fog-based data analytics scheme with cost-efficient resource provisioning for IoT crowdsensing applications

HR Arkian, A Diyanat, A Pourkhalili - Journal of Network and Computer …, 2017 - Elsevier
Abstract Development of Internet of things (IoT) has revitalized the feature scale of
wearables and smart home/city applications. The landscape of these applications …

A survey of mobile crowdsensing techniques: A critical component for the internet of things

J Liu, H Shen, HS Narman, W Chung… - ACM Transactions on …, 2018 - dl.acm.org
Mobile crowdsensing serves as a critical building block for emerging Internet of Things (IoT)
applications. However, the sensing devices continuously generate a large amount of data …

A blockchain based truthful incentive mechanism for distributed P2P applications

Y He, H Li, X Cheng, Y Liu, C Yang, L Sun - IEEE access, 2018 - ieeexplore.ieee.org
In distributed peer-to-peer (P2P) applications, peers self-organize and cooperate to
effectively complete certain tasks such as forwarding files, delivering messages, or …

Mobile crowdsourcing in smart cities: Technologies, applications, and future challenges

X Kong, X Liu, B Jedari, M Li, L Wan… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
Local administrations and governments aim at leveraging wireless communications and
Internet of Things (IoT) technologies to manage the city infrastructures and enhance the …

Edge computing architecture for mobile crowdsensing

M Marjanović, A Antonić, IP Žarko - Ieee access, 2018 - ieeexplore.ieee.org
Mobile crowdsensing (MCS) is a human-driven Internet of Things service empowering
citizens to observe the phenomena of individual, community, or even societal value by …

Crowdsourcing and sensing for indoor localization in IoT: A review

B Lashkari, J Rezazadeh, R Farahbakhsh… - IEEE Sensors …, 2018 - ieeexplore.ieee.org
Among the emerging concepts in the context of IoT, crowdsourcing, and crowdsensing are
known as two critical building blocks on the intersection point of things and human-based …

4W1H in mobile crowd sensing

D Zhang, L Wang, H **ong… - IEEE Communications …, 2014 - ieeexplore.ieee.org
With the rapid proliferation of sensor-rich smartphones, mobile crowd sensing has become a
popular research field. In this article, we propose a four-stage life cycle (ie, task creation …

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 …