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An Efficient Relayed Broadcasting based on the Duplication Estimation Model for IoT Applications.

Youngboo Kim1, Eun-Chan Park2

  • 1Department of Information and Communication Engineering, Dongguk University-Seoul, Seoul 04620, Korea. 0bookim@dongguk.edu.

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Summary
This summary is machine-generated.

This study introduces a novel mechanism to prevent broadcast storms in wireless ad hoc networks. The proposed method reduces redundant data transmission and improves network reliability for Internet of Things services.

Keywords:
Broadcast stormIoT applicationsfloodingrelayreliability

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Area of Science:

  • Computer Science
  • Networking
  • Wireless Communication

Background:

  • Wireless ad hoc networks are crucial for Internet of Things (IoT) services.
  • Broadcasting, or flooding, is a common traffic dissemination scheme.
  • Uncontrolled rebroadcasting leads to broadcast storm problems, causing collisions, interference, and increased dissemination time.

Purpose of the Study:

  • To mitigate the broadcast storm problem in relay-based broadcasting.
  • To propose an efficient mechanism for duplication suppression and re-queuing.
  • To ensure reliable data dissemination and reduce traffic time in wireless networks.

Main Methods:

  • A duplication ratio criterion is proposed to restrict rebroadcasting.
  • An efficient mechanism combining proactive probabilistic duplication suppression and reactive re-queuing is developed.
  • A practical approximation method for the duplication ratio using adjacent node count is introduced.

Main Results:

  • The proposed mechanism effectively suppresses duplicate frames, reducing redundancy.
  • Re-queuing schemes compensate for potential delivery failures.
  • Simulation studies demonstrate a significant decrease in traffic dissemination time, up to 6-fold.

Conclusions:

  • The developed mechanism ensures reliable data dissemination in wireless ad hoc networks.
  • The approach significantly reduces traffic dissemination time compared to conventional methods.
  • This contributes to more efficient and robust IoT service enablement.