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Context-Aware Gossip-Based Protocol for Internet of Things Applications.

Lina Altoaimy1, Arwa Alromih2, Shiroq Al-Megren3

  • 1Information Technology Department, King Saud University, Riyadh 12371, Saudi Arabia. laltoaimy@ksu.edu.sa.

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Summary

This study introduces a flexible gossip protocol using a multi-factor weighting function (MFWF) for diverse IoT applications. It optimizes data dissemination for critical, bandwidth-intensive, and energy-efficient needs, outperforming traditional methods.

Keywords:
Internet of Things (IoT)content-awarecontext-awaregossiping protocolrouting protocolwireless sensor network (WSN)

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Area of Science:

  • Computer Science
  • Networking
  • Internet of Things (IoT)

Background:

  • Efficient data dissemination is crucial for IoT applications.
  • Existing gossip protocols lack adaptability to diverse application requirements and network conditions.

Purpose of the Study:

  • To propose a novel gossip-based protocol utilizing a multi-factor weighting function (MFWF).
  • To tailor the MFWF for critical, bandwidth-intensive, and energy-efficient IoT applications.
  • To evaluate the protocol's performance against traditional gossiping and FELGossiping protocols.

Main Methods:

  • Development of a multi-factor weighting function (MFWF) considering residual energy, distances, node density, and message priority.
  • Customization of MFWF parameters for three distinct IoT application types.
  • Comparative performance analysis based on end-to-end delay, network lifetime, rebroadcast nodes, and saved rebroadcasts.

Main Results:

  • The proposed protocol significantly reduces delay for critical IoT applications.
  • It improves bandwidth utilization by decreasing rebroadcast nodes and increasing saved rebroadcasts for bandwidth-intensive applications.
  • The adapted MFWF enhances network lifetime for energy-efficient IoT applications.

Conclusions:

  • The proposed gossip protocol demonstrates high flexibility and adaptability to various IoT network contexts and message priorities.
  • The MFWF effectively optimizes data dissemination strategies for different application requirements.
  • This approach offers a promising solution for enhancing IoT communication efficiency and performance.