Compressive Sensing-Based IoT Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".
Deadline for manuscript submissions: closed (10 December 2022) | Viewed by 2652
Special Issue Editor
Interests: Internet of Things (IoT); artificial intelligence (AI); haptic communications; QoS control; big data analysis; cloud computing; digital twins
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
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
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