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Harilton da Silva Araújo1,2,3, Raimir Holanda Filho4, Joel J P C Rodrigues5,6,7,8

  • 1Programa de Pós-Graduação em Informática Aplicada (PPGIA), University of Fortaleza (UNIFOR), Av. Washington Soares, 1321, Edson Queiroz, 60.811-905 Fortaleza-CE, Brazil. jose.sobral@it.ubi.pt.

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Summary
This summary is machine-generated.

This study introduces a fuzzy logic approach for Internet of Things (IoT) route selection, enhancing data delivery reliability and network lifetime. The method dynamically optimizes routing protocols for better Quality of Service (QoS) in IoT networks.

Keywords:
6LowPANInternet of Thingscontext-awarefuzzy systemobjective functionrouting

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Area of Science:

  • Computer Science
  • Network Engineering
  • Artificial Intelligence

Background:

  • The Internet of Things (IoT) relies on interconnected devices with autonomous capabilities.
  • Effective data dissemination in IoT necessitates context-aware routing protocols with auto-configuration.
  • Existing routing protocols often struggle to adapt to dynamic IoT environments and specific application needs.

Purpose of the Study:

  • To propose a novel approach for Internet of Things (IoT) route selection using fuzzy logic.
  • To enhance data dissemination reliability and Quality of Service (QoS) in IoT networks.
  • To improve the overall network lifetime of IoT devices.

Main Methods:

  • Implementation of a fuzzy logic system to translate linguistic rules into mathematical terms for route selection.
  • Development of four dynamic Objective Functions (OFs) for the Routing Protocol for Low Power and Loss Networks (RPL).
  • Fusion of key metrics including Expected Transmission Count (ETX), Number of Hops (NH), and Energy Consumed (EC) to generate OFs.

Main Results:

  • Achieved nearly 100% data packet delivery reliability.
  • Demonstrated low data delivery delay, significantly improving Quality of Service (QoS).
  • Attained a 30% improvement in network lifetime through optimized energy consumption and routing.

Conclusions:

  • The proposed fuzzy logic approach effectively addresses IoT routing challenges by adapting to context information.
  • This method significantly enhances IoT network performance, reliability, and longevity.
  • The dynamic selection of Objective Functions based on fuzzy logic offers a robust solution for diverse IoT applications.