Perpetual Sensor Nodes for Sustainable Wireless Network Applications
A special issue of Technologies (ISSN 2227-7080). This special issue belongs to the section "Information and Communication Technologies".
Deadline for manuscript submissions: closed (30 September 2024) | Viewed by 15491
Special Issue Editors
Interests: energy harvesting; power management; Internet of Things; wireless sensor networks
Interests: intelligent signal processing; wireless sensor networks; Internet of Things; power management; smart materials; composite materials
Special Issue Information
Dear Colleagues,
Over the last few years, there has been an increasing interest in the development of wireless sensor networks (WSNs) for a variety of applications, such as structural health monitoring, smart homes and buildings, agriculture and environmental monitoring, among others. However, the widespread adoption of WSN technology has been limited partly due to sustainability and maintenance cost concerns. One important concern is the need of eventually performing battery replacement for tens or even hundreds of sensing devices scattered over a large-area field. Therefore, there is a necessity to explore different approaches for the extension of battery life in sensor nodes. This Technologies Special Issue is focused on addressing energy harvesting, energy conservation, and wireless power transfer approaches to the development of sustainable and cost-effective wireless sensor nodes. Potential topics include (but are not limited to) ultra-low-power hardware architectures and communication protocols for sensor nodes, wireless-power-transfer-enabled sensor nodes, novel energy harvesting transducers, energy harvesting circuits for sensor nodes, predictive energy harvesting techniques, energy-saving and energy-aware battery management techniques, and low-power machine learning algorithms for wireless networks.
Dr. Johan Jair Estrada-López
Prof. Dr. Alejandro A. Castillo Atoche
Dr. Javier Vázquez-Castillo
Guest Editors
Manuscript Submission Information
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Keywords
- energy harvesting
- wireless sensors
- battery-management
- low-power communications
- machine learning
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