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Delay Analysis in IoT Sensor Networks.

Asaad Althoubi1, Reem Alshahrani2, Hassan Peyravi1

  • 1Department of Computer Science, Kent State University, Kent, OH 44242, USA.

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|July 2, 2021
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This study introduces a novel queuing model for Internet of Things (IoT) sensor networks to predict latency and jitter. The model optimizes performance for edge sensor networks and data center networks.

Keywords:
data center networksedge networkssensor networks

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Area of Science:

  • Computer Science
  • Network Engineering
  • Performance Analysis

Background:

  • Internet of Things (IoT) devices, especially in sensor networks, are latency-sensitive.
  • Network topology significantly impacts performance, with various configurations like linear, star, hierarchical, and mesh.
  • Applications range from underwater communication to vehicular networks, all facing challenges with latency, jitter, and tail latency.

Purpose of the Study:

  • To develop a predictive model for end-to-end latency and latency variation in IoT sensor networks.
  • To provide a framework for analyzing other performance metrics like utilization and optimal computing resources.
  • To validate the model's accuracy across diverse network topologies and traffic conditions.

Main Methods:

  • Development of a two-stage tandem queuing model.
  • Theoretical derivation based on queuing theory.
  • Validation through simulation across various network topologies and traffic conditions.

Main Results:

  • The model accurately estimates average end-to-end latency.
  • It provides closed-form predictions for latency variation (jitter).
  • The model can investigate network utilization and optimal cluster computing units.

Conclusions:

  • The proposed queuing model effectively addresses latency and jitter in IoT sensor networks.
  • It offers valuable insights for optimizing performance in Edge Sensor Networks (ESNs) and Data Center Networks (DCNs).
  • The model's accuracy is confirmed by simulation results, making it a reliable tool for network design and analysis.