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Optimal Consensus with Dual Abnormality Mode of Cellular IoT Based on Edge Computing.

Shin-Hung Pan1, Shu-Ching Wang2

  • 1Department of M-Commerce and Multimedia Applications, Asia University, Taichung 413305, Taiwan.

Sensors (Basel, Switzerland)
|January 22, 2021
PubMed
Summary

This study introduces a novel consensus protocol for cellular Internet of Things (CIoT) systems operating under dual-mode failures. The protocol ensures reliable operation by minimizing data exchange and maximizing tolerance for dormant and malicious component failures.

Keywords:
Internet of Thingscellular internet of thingscloud computingconsensus problemedge computingfault-tolerant

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Area of Science:

  • Computer Science
  • Network Engineering
  • Cybersecurity

Background:

  • Fifth-generation (5G) networks are driving the expansion of Internet of Things (IoT) applications, leading to the development of Cellular IoT (CIoT).
  • Ensuring reliable network topology is crucial for robust CIoT applications, with consensus mechanisms being a key challenge.
  • Existing systems face challenges in maintaining functionality when components experience dormant or malicious abnormalities.

Purpose of the Study:

  • To propose a novel consensus protocol for CIoT systems.
  • To address the challenges posed by dual abnormality modes (dormant and malicious) in CIoT networks.
  • To ensure reliable execution of CIoT applications despite component failures.

Main Methods:

  • Development of a new consensus protocol specifically designed for CIoT environments.
  • Integration of a dual abnormality mode to simulate both dormant and malicious component failures.
  • Analysis of the protocol's efficiency in terms of data exchange and fault tolerance.

Main Results:

  • The proposed protocol enables normal CIoT components to reach consensus with minimal data exchange.
  • The protocol maximizes the number of tolerated dormant and malicious abnormal components within the CIoT system.
  • All normal components satisfy the consensus constraints: Termination, Agreement, and Integrity.

Conclusions:

  • The developed consensus protocol enhances the reliability of CIoT applications in the face of complex failure scenarios.
  • This research contributes to the secure and efficient operation of future edge computing and ubiquitous service environments.
  • The protocol provides a foundation for building more resilient and trustworthy CIoT ecosystems.