6533b7dafe1ef96bd126e1bf

RESEARCH PRODUCT

Advanced Monitoring Systems Based on Battery-Less Asset Tracking Modules Energized through RF Wireless Power Transfer

Patrizia LivreriRoberto La RosaRoberto La RosaCatherine Dehollain

subject

Internet of thingsMaximum power principleComputer scienceAsset tracking02 engineering and technologylcsh:Chemical technologywsnSettore ING-INF/01 - Elettronica01 natural sciencesBiochemistryArticleAnalytical Chemistrywireless sensor networkRadio frequency0202 electrical engineering electronic engineering information engineeringElectronic engineeringlcsh:TP1-1185System on a chipWireless power transferWireless power transferElectrical and Electronic EngineeringInstrumentationwsnsEnergy harvesting010401 analytical chemistryEnergy conversion efficiencyWireless battery charger020206 networking & telecommunicationsWireless sensor networksAtomic and Molecular Physics and Optics0104 chemical sciencesSettore ING-IND/31 - ElettrotecnicawptNode (circuits)Radio frequencyWireless sensor networkEnergy harvesting

description

Asset tracking involving accurate location and transportation data is highly suited to wireless sensor networks (WSNs) featuring battery-less nodes that can be deployed in virtually any environment and require little or no maintenance. In response to the growing demand for advanced battery-less sensor tag solutions, this article presents a system for identifying and monitoring the speeds of assets in a WSN with battery-less tags that receive all their operating energy through radio frequency (RF) wireless power transfer (WPT) architecture, and a unique measurement approach to generate time-domain speed readouts. The assessment includes performance characteristics and key features of a system on chip (SoC) purposely designed to power a node through RF WPT. The result is an innovative solution for RF to DC conversion able to address the principal difficulties associated with maximum power conversion efficiency (PCE) with sensitivity and vice versa, a strategy, and a design optimization model to indicate the number of readers required for reliable asset identification and speed measurement. Model validation is performed through specific tests. Experimental results demonstrating the viability of the proposed advanced monitoring system are provided.

https://doi.org/10.3390/s20113020