Modeling IoT Equipment With Graph Neural Networks
Traditional neural networks usually concentrate on temporal data in system simulation, and lack of capabilities to reason inner logic relations between different […]
An Embedded Programmable Processor for Compressive Sensing Applications
An application specific programmable processor is designed based on the analysis of a set of greedy recovery Compressive Sensing (CS) algorithms. The […]
On Track of Sigfox Confidentiality with End-to-End Encryption
The last years brought many novel challenges for the Internet of Things (IoT). Low capital and operational expenditures, massive deployments of devices, […]
Proactive edge computing in fog networks with latency and reliability guarantees
This paper studies the problem of task distribution and proactive edge caching in fog networks with latency and reliability constraints. In the […]