Session: Mobile edge computing-based distributed architecture in mobile crowdsensing
Deploying Mobile Edge Computing (MEC) in Mobile Crowdsensing (MCS) can help address many challenges the centralized MCS solutions are facing such as delays in answering real-time requirements due to the centralized nature of the solution, discovering and selecting non-connected devices in the Area of Interest (AoI), and dealing with the complexity of data computation. In this talk, we will discover what is edge computing technology? why it is used and how it can overcome the limitation of centralized platforms? and How it can help to improve the worker selection/recruitment in MCS?
- Edge Computing Technology, Distributed Architecture, Worker Selecetion in Mobile Crowdsensing
HANANE LAMAAZI is a Postdoctoral Fellow at Khalifa University of Science and Technology, a top rank university in the UAE. She obtained here Ph.D in computer Sciences and Networks. Her research interests include the Internet of Things (IoT), RPL routing protocol, edge computing, and crowdsensing. She is also a TPC member in different scientific conferences. She is acting as a Reviewer of several high reputated scientific journals.