Federated learning in smart city sensing: Challenges and opportunities
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 …
services. The advent of the Internet of Things (IoT) and the widespread use of mobile …
Mobile crowd sensing–taxonomy, applications, challenges, and solutions
Recently, mobile crowd sensing (MCS) is captivating growing attention because of their
suitability for enormous range of new types of context-aware applications and services. This …
suitability for enormous range of new types of context-aware applications and services. This …
Enabling strong privacy preservation and accurate task allocation for mobile crowdsensing
Mobile crowdsensing engages a crowd of individuals to use their mobile devices to
cooperatively collect data about social events and phenomena for customers with common …
cooperatively collect data about social events and phenomena for customers with common …
Toward optimal participant decisions with voting-based incentive model for crowd sensing
With the rapid development of crowd sensing in sensing applications, excellent incentive
mechanisms are playing an increasingly important role. However, most existing solutions do …
mechanisms are playing an increasingly important role. However, most existing solutions do …
Towards robust task assignment in mobile crowdsensing systems
Mobile Crowdsensing (MCS), which assigns outsourced sensing tasks to volunteer workers,
has become an appealing paradigm to collaboratively collect data from surrounding …
has become an appealing paradigm to collaboratively collect data from surrounding …
Price learning-based incentive mechanism for mobile crowd sensing
Mobile crowd sensing (MCS) is an emerging sensing paradigm that can be applied to build
various smart city and IoT applications. In an MCS application, the participation level of …
various smart city and IoT applications. In an MCS application, the participation level of …
Incentive mechanism with task bundling for mobile crowd sensing
Y Zhang, X Zhang - ACM Transactions on Sensor Networks, 2023 - dl.acm.org
Mobile crowd sensing (MCS) has become a powerful sensing paradigm that allows
requesters to outsource sensing tasks to a crowd of mobile users. Aware of the paramount …
requesters to outsource sensing tasks to a crowd of mobile users. Aware of the paramount …
When crowdsourcing meets social IoT: An efficient privacy-preserving incentive mechanism
Crowdsourcing is an effective paradigm in human centric computing for addressing
problems by utilizing human computation power, especially in booming social Internet of …
problems by utilizing human computation power, especially in booming social Internet of …
Considering decoy effect and fairness preference: An incentive mechanism for crowdsensing
D Li, L Yang, J Liu, H Liu - IEEE internet of Things Journal, 2019 - ieeexplore.ieee.org
Crowdsensing is a system which collects sensing data through recruiting a large number of
participants to perform the sensing tasks. It consists of two parts: 1) the platform side and 2) …
participants to perform the sensing tasks. It consists of two parts: 1) the platform side and 2) …