IoT, low-power devices and smart systems

The Introduction of the Special Issue

The Internet of Things (IoT) is becoming very popular in areas such as smart cities, healthcare and others in which information needs to be collected from different places at the same time. However, IoT devices have to be deployed in hostile environments and open areas commonly, which are difficult to reach in order to protect the system. Thus, these devices need to be low-power in order to be useful, which is a challenge.

Because of the transmission of information being the most power consuming task, IoT devices have focused lately on sending less raw information and processing it before in order to reduce the amount of data transmitted. To this end, Deep Learning algorithms such as neural networks have been implemented in them to classify the data obtained from the sensors and send only the processed information, reducing power consumption.

This Special Issue cover these fields, from IoT to low power smart devices and systems.

The Research Scope of the Special Issue

·Internet-of-Things

·low-power devices

·low-power devices

·machine learning

·sensors

·wireless communications

Submission guidelines

All papers should be submitted via the Insight-Communication submission system: http://insight.piscomed.com/index.php/IC

Submitted articles should not be published or under review elsewhere. All submissions will be subject to the journal’s standard peer review process. Criteria for acceptance include originality, contribution, scientific merit and relevance to the field of interest of the Special Issue.

Important Dates

Paper Submission Due: August 01 , 2019

The Lead Guest Editor

Juan P. Dominguez-Morales

Juan Pedro Dominguez-Morales received the B.S. Degree in Computer Engineering in 2014, the M.S. Degree in Computer Engineering and Networks in 2015 and the Ph.D. in Neuromorphic Engineering in 2018 from the University of Seville (Sevilla, Spain.

Since January 2019, he has been a Post Doctoral Researcher and Lecturer in the Dept. of Architecture and Computer Technology at the University of Seville, His research interests include neuromorphic engineering, spiking neural networks and neuromorphic sensors, neuromorphic engineering applied to robotics, real-time spikes signal processing, neural networks and deep learning. Since January 2016 he has been a member of the IEEE Society and the IEEE Signal Processing Society.