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Towards Sustainable Distributed Sensor Networks: An Approach for Addressing Power Limitation Issues in WSNs.

Alaa Alaerjan1

  • 1Department of Computer Science, College of Computer and Information Sciences, Jouf University, Sakakah 72388, Saudi Arabia.

Sensors (Basel, Switzerland)
|January 21, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a novel approach to reduce power consumption in wireless sensor networks (WSNs). By optimizing sensor nodes at the sensing and communication levels, significant energy savings and improved reliability were achieved.

Keywords:
Contiki OSIoTdistributed sensorsenergy efficiencysensors communicationwireless sensor networks

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Area of Science:

  • Electrical Engineering
  • Computer Science
  • Network Engineering

Background:

  • Wireless Sensor Networks (WSNs) are crucial for enhancing operational quality, productivity, and safety across various applications.
  • Sensor nodes in WSNs are typically battery-powered and deployed in challenging terrains, making battery replacement difficult and necessitating energy sustainability.
  • Extending the lifetime of individual sensor nodes is critical for the overall longevity and effectiveness of the entire WSN.

Purpose of the Study:

  • To propose and evaluate an energy-saving approach for wireless sensor nodes.
  • To address power consumption reduction at both the sensing and communication levels within sensor nodes.
  • To enhance the operational lifespan and reliability of WSNs through optimized energy management.

Main Methods:

  • Configuring the sensor node's microcontroller to conserve energy based on task requirements.
  • Implementing a specialized interface to minimize power usage by the radio module.
  • Conducting field experiments to quantify the effectiveness of the proposed energy-saving strategies.

Main Results:

  • The proposed approach successfully reduces power consumption in wireless sensor nodes.
  • Field experiments demonstrated up to a 50% reduction in wasted energy at the sensor node level.
  • Communication reliability was significantly improved, particularly in large-scale WSN deployments.

Conclusions:

  • The developed approach offers a viable solution for energy sustainability in WSNs.
  • Optimizing sensor nodes at the microcontroller and radio module levels leads to substantial energy savings.
  • The findings are particularly relevant for extending the operational life of WSNs in remote or inaccessible environments.