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Related Concept Videos

Energy and Power Signals01:17

Energy and Power Signals

278
In an electrical system with a resistor, voltage and current signals facilitate the measurement of power and energy across the resistor. For a continuous-time signal, the total energy over a time interval is defined as the integral of the square of the signal's magnitude over that interval. Mathematically, this is expressed as:
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Electrical Energy01:10

Electrical Energy

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Using electric appliances for a longer period of time consumes more electrical energy and results in a higher electric bill. The energy produced by the transfer of electrons from one point to another is known as electrical energy. If power is delivered at a constant rate, the electrical energy can be defined as the product of power used by the device for a period of time. The energy unit on electric bills is the kilowatt-hour, where one kilowatt-hour is equivalent to 3.6 × 106 joules.
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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Towards Mass-Scale IoT with Energy-Autonomous LoRaWAN Sensor Nodes.

Roberto La Rosa1, Lokman Boulebnane2, Antonino Pagano2,3

  • 1STMicroelectronics, Stradale Primosole 50, 95121 Catania, Italy.

Sensors (Basel, Switzerland)
|July 13, 2024
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Summary
This summary is machine-generated.

This study introduces an energy-autonomous wireless sensor node (EAWSN) for sustainable Internet of Things (IoT) applications. The maintenance-free EAWSN utilizes solar power and LoRaWAN for long-range, low-power communication.

Keywords:
IoTLPWANLoRaWANbattery-freeenergy harvestingwireless sensor node

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Area of Science:

  • Electronics and Electrical Engineering
  • Computer Science
  • Environmental Science

Background:

  • The projected trillion connected devices by 2030 pose significant power and maintenance challenges for traditional battery-operated nodes.
  • Mass-scale Internet of Things (IoT) deployments in remote areas require sustainable, self-sufficient, and maintenance-free solutions.

Purpose of the Study:

  • To develop an energy-autonomous wireless sensor node (EAWSN) for sustainable, long-term IoT applications.
  • To create a maintenance-free device suitable for remote and inaccessible environments.

Main Methods:

  • The EAWSN leverages Low-Power Wide Area Networks (LPWANs) with LoRaWAN connectivity.
  • Power is supplied by a commercial photovoltaic cell capable of harvesting ambient light.
  • A 2 mF capacitor is used for energy storage.

Main Results:

  • The EAWSN successfully transmits 30-byte data packets up to 560 meters.
  • Opportunistic LoRaWAN data rate selection optimizes the trade-off between energy consumption and network coverage.
  • Validation in an urban environment demonstrated exceptional performance and reliability over significant distances.

Conclusions:

  • The developed EAWSN offers a sustainable and reliable solution for mass-scale IoT deployments.
  • The energy-autonomous design addresses the challenges of power and maintenance in remote IoT applications.
  • The system's performance validates its suitability for long-term, self-sufficient operation.