Stephane Dedieu. January-Feb. 2023.
The initial motivation for this work: develop a multi-objective optimization methodology for a pseudo-adaptive algorithm that assigns IoT devices to a set of networks.
We assume an assessment of each network available to each device in terms of resources, QoS, and a Genetic Algorithm running on a central controller to sense, analyze and optimally allocate networks’ resources among a set of devices. An original bin-packing algorithm is used for local convergence.
At the moment this repository contains the copy of an article, with preliminary activities, presented at the IEEE conference in Quebec city - Canada in 2018.
All codes for this project are programmed with Matlab. Most sources are confidential. We will reprogram a subset of the algorithms with Python. And present the methodology with a simplified problem.