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Distributed Group Location Update Algorithm for Massive Machine Type Communication.

Mincheol Paik1, Haneul Ko1

  • 1Department of Computer and Information Science, Korea University, Sejong 30019, Korea.

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|December 29, 2020
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Summary
This summary is machine-generated.

Frequent location updates in massive machine type communication (mMTC) systems are problematic. A new distributed group location update algorithm (DGLU) balances location accuracy and energy efficiency for Internet of Things (IoT) devices.

Keywords:
Internet of Things (IoT)distributed group location update algorithmlocation updatemassive machine type communication (mMTC)nash equilibrium

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Telecommunications

Background:

  • Massive machine type communication (mMTC) systems face challenges with frequent location updates from numerous Internet of Things (IoT) devices.
  • These updates lead to significant signaling overhead and rapid energy depletion in IoT devices.
  • Existing individual location update schemes are inefficient for large-scale mMTC deployments.

Purpose of the Study:

  • To develop a novel distributed algorithm for managing location updates in mMTC systems.
  • To reduce signaling overhead and conserve energy in IoT devices.
  • To maintain high location accuracy while minimizing energy consumption.

Main Methods:

  • Designed a distributed group location update algorithm (DGLU) where nearby IoT devices coordinate updates.
  • Formulated a constrained stochastic game model to optimize location accuracy and energy outage probability.
  • Employed a best response dynamics-based algorithm to find a multi-policy constrained Nash equilibrium.

Main Results:

  • The DGLU algorithm effectively reduces signaling overhead and energy consumption compared to individual updates.
  • Achieved location information accuracy comparable to individual update schemes.
  • Demonstrated a sufficiently small energy outage probability, ensuring reliable device operation.

Conclusions:

  • The DGLU algorithm offers a viable solution for efficient location management in mMTC systems.
  • It successfully balances the trade-off between location accuracy and energy efficiency for IoT devices.
  • This approach enhances the scalability and sustainability of massive IoT deployments.