Dear Colleagues,

The Internet of Things (IoT) is a promising technology for 5G communications systems, providing a fully interactive and interconnected environment with billions of devices connected in an integrated heterogeneous network, thus supporting multiple users, services, and applications. Compressive sensing (CS) is a rapidly emerging collection of optimization tools, initially applied to reduced complexity data acquisition, but also directly applicable to technologies such as IoT. Compressive sensing offers reduced effective parameter dimensionality and most importantly reduction in computational and implementation complexity. The integration of CS and IoT technology will surely provide more effective and low-complexity/cost data management and information extraction. We invite researchers to publish original papers connecting CS theory and IoT network technology together in terms of optimized performance and reduced complexity.

Potential topics include but are not limited to the following:

• Compressive sensing theory and IoT network performance optimization
• Compressive sensing reconstruction algorithms for IoT networks
• Compressive sensing and information theory for IoT technology
• IoT services and applications based on compressive sensing
• Compressive sensing-based IoT data management
• Compressive sensing applicability on IoT emerging solutions
• IoT decentralized network design with sparse operational parameters
• Compressive sensing and IoT network heterogeneity
• Compressive sensing-based energy efficiency in IoT networks
• Compressive sensing and security over IoT networks
• Compressive sensing mobility in IoT networks
• Industrial and healthcare IoT applications based on compressive sensing
• Compressive sensing sparsity-based IoT network complexity
• Compressive sensing-based IoT network scalability and reliability optimization
• Compressive sensing-based NOMA schemes for IoT networks
• Compressive sensing-based functionality of resource-constrained IoT devices
• Compressive sensing-based data processing and information extraction in wireless sensor IoT networks
• Compressive sensing-based wideband spectrum sensing for Cognitive IoT networks
• Compressive sensing sparsity-based IoT wireless channel modeling and estimation

Dr. Psannis Kostas
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.