The SensiTag: An Innovative BAP RFID TAG for Environmental Multi-sensing

Ria, Andrea; Motroni, Andrea; Gagliardi, Francesco; Piotto, Massimo; Bruschi, Paolo

doi:10.1007/978-3-031-48121-5_36

Cited by 4 publications

(1 citation statement)

References 13 publications

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“…This system includes automated learning to prevent adulterated food consumption. In [ 20 ], a measurement platform based on Arduino Nano V3 is presented, which uses an RFID BAP to communicate temperature measurements. The work shows progress in the development of lightweight Wireless Sensors but a connection to the Cloud is not demonstrated.…”

Section: Introductionmentioning

confidence: 99%

Multipurpose Modular Wireless Sensor for Remote Monitoring and IoT Applications

Sámano-Ortega,

Arzate-Rivas,

Martínez-Nolasco

et al. 2024

Sensors

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Today, maintaining an Internet connection is indispensable; as an example, we can refer to IoT applications that can be found in fields such as environmental monitoring, smart manufacturing, healthcare, smart buildings, smart homes, transportation, energy, and others. The critical elements in IoT applications are both the Wireless Sensor Nodes (WSn) and the Wireless Sensor Networks. It is essential to state that designing an application demands a particular design of a WSn, which represents an important time consumption during the process. In line with this observation, our work describes the development of a modular WSn (MWSn) built with digital processing, wireless communication, and power supply subsystems. Then, we reduce the WSn-implementing process into the design of its modular sensing subsystem. This would allow the development and launching processes of IoT applications across different fields to become faster and easier. Our proposal presents a versatile communication between the sensing modules and the MWSn using one- or two-wired communication protocols, such as I2C. To validate the efficiency and versatility of our proposal, we present two IoT-based remote monitoring applications.

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Section: Introductionmentioning

confidence: 99%