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Distance-Based Queuing for Scalable and Reliable Linear Wireless Sensor Networks in Smart Cities.

Iclia Villordo-Jimenez1, Noé Torres-Cruz1, Rolando Menchaca-Mendez2

  • 1Unidad Profesional Interdisciplinaria en Ingeniería y Tecnologías Avanzadas, Instituto Politécnico Nacional, Mexico City 07340, Mexico.

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This study introduces a Distance-Based Queuing (DBQ) scheme to enhance Linear Wireless Sensor Networks (LWSNs). DBQ improves reliability and scalability by prioritizing packets based on their distance to the sink node, ensuring consistent packet loss probabilities.

Keywords:
linear wireless sensor networksqueuing schemesmart citiessynchronized duty-cycled MAC

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Linear Wireless Sensor Networks (LWSNs) face reliability and scalability challenges due to high packet loss probabilities (PLP) for nodes distant from the sink.
  • This issue critically impacts Smart City applications requiring timely data collection for effective decision-making.
  • Prior research has not adequately addressed this specific problem, focusing instead on general network performance improvements.

Purpose of the Study:

  • To propose a novel Distance-Based Queuing (DBQ) scheme for MAC protocols in LWSNs.
  • To enhance network reliability and scalability by mitigating the impact of node distance on packet loss.
  • To ensure consistent packet loss probabilities across all network nodes without additional local processing or signaling.

Main Methods:

  • Developed a Distance-Based Queuing (DBQ) scheme for integration into MAC protocols.
  • Created an analytical model to theoretically evaluate the DBQ scheme's performance.
  • Conducted extensive discrete-event simulations to validate the proposed scheme under various conditions.

Main Results:

  • The DBQ scheme ensures that all nodes experience the same average packet loss probability (PLP), irrespective of their hop distance to the sink.
  • Demonstrated significant improvements in network reliability and scalability.
  • Showcased consistent throughput across all nodes, regardless of traffic intensities and network sizes.

Conclusions:

  • The Distance-Based Queuing (DBQ) scheme effectively addresses the PLP limitations in LWSNs.
  • DBQ offers a practical solution for enhancing the reliability and scalability of LWSNs, particularly for Smart City applications.
  • The proposed scheme provides a uniform experience for all nodes, improving overall network performance and data collection efficiency.