Quality-aware task allocation for mobile crowd sensing based on edge computing
Z Li, Z Li, W Zhang - Electronics, 2023 - mdpi.com
In the field of mobile crowd sensing (MCS), the traditional client–cloud architecture faces
increasing challenges in communication and computation overhead. To address these …
increasing challenges in communication and computation overhead. To address these …
Influence before Hiring: A Two-tired Incentive Compatible Mechanism for IoT-based Crowdsourcing in Strategic Setting
C Bhargavi, VK Singh - arXiv preprint arXiv:2303.05062, 2023 - arxiv.org
In crowdsourcing, a group of common people is asked to execute the tasks and in return will
receive some incentives. In this article, one of the crowdsourcing scenarios with multiple …
receive some incentives. In this article, one of the crowdsourcing scenarios with multiple …
An Architecture for Crowd Density Estimation in Heterogenous Opportunistic Environment
L Addepalli - 2024 - riunet.upv.es
[EN] This thesis presents a new framework called the" Dynamic Urban Crowd and Social
Interaction Model (DUCSIM)," which is aimed at calculating crowd density and deciphering …
Interaction Model (DUCSIM)," which is aimed at calculating crowd density and deciphering …
[PDF][PDF] Enhanced PSO Optimized Leader in Cloud-Fog Task Scheduling for IoT and Mobile Crowdsensing Environments
AMA Al-muqarm, NA Hussien - ijeetc.com
The data generated by the IoT needs a powerful platform such as cloud computing for data
processing. However, the cloud faces challenges when dealing with various types of …
processing. However, the cloud faces challenges when dealing with various types of …