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Optimizations for Energy Efficiency in Software-Defined Wireless Sensor Networks.

Sorin Buzura1, Bogdan Iancu1, Vasile Dadarlat1

  • 1Computer Science Department, Technical University of Cluj-Napoca, 28 Memorandumului Street, 400114 Cluj-Napoca, Romania.

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Summary
This summary is machine-generated.

This study enhances energy efficiency in software-defined wireless sensor networks (SDWSN) for the Internet of Things (IoT). By using content awareness and adaptive data broadcast, it significantly reduces network traffic and extends sensor lifespan.

Keywords:
SDWSNadaptive data broadcastcontent aware networkingenergy efficiency

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Area of Science:

  • Computer Science
  • Networking
  • Wireless Sensor Networks

Background:

  • Software-defined wireless sensor networking (SDWSN) is key for the Internet of Things (IoT).
  • Energy consumption limits the lifespan of devices in wireless sensor networks.
  • Current SDWSN architectures face challenges in managing energy efficiency.

Purpose of the Study:

  • To improve energy efficiency in SDWSN by reducing data packet generation.
  • To extend the operational lifespan of sensor devices.
  • To enhance overall network performance in dynamic environments.

Main Methods:

  • A system design combining content awareness and adaptive data broadcast is proposed.
  • Content awareness is implemented at the sensor level for distributed management.
  • Adaptive data broadcast is managed by the control plane.

Main Results:

  • Simulations demonstrated a significant decrease in network traffic.
  • The proposed system effectively reduces data packet generation.
  • Achieved substantial improvements in overall network performance.

Conclusions:

  • The integration of content awareness and adaptive data broadcast offers a simple yet effective approach to enhance SDWSN energy efficiency.
  • This method surpasses complex algorithms in improving network performance and device longevity.
  • The findings support the viability of SDWSN as a foundational technology for the IoT.