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An IoT-Based Fog Computing Model.

Kun Ma1, Antoine Bagula2, Clement Nyirenda3

  • 1ISAT Laboratory, Department of Computer Science, University of the Western Cape, Bellville 7535, South Africa. makuning@126.com.

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|June 26, 2019
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Summary
This summary is machine-generated.

This study introduces IoT-FCM, a fog computing model that reduces distance and energy consumption in the Internet of Things (IoT). It enhances fault-tolerance and network efficiency for IoT devices.

Keywords:
IoTLIBPedge computingenergy conservationfog computingfog layergenetic algorithmmulti-sink nodesresource allocationrouting protocolterminal layer

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Area of Science:

  • Computer Science
  • Networking
  • Distributed Systems

Background:

  • Cloud computing faces limitations like high bandwidth consumption and latency due to data center distance.
  • The Internet of Things (IoT) generates vast data, exacerbating cloud computing challenges.
  • Fog computing offers a distributed solution by leveraging local processing and terminal device capabilities.

Purpose of the Study:

  • To propose a novel multi-layer Internet of Things-based Fog Computing Model (IoT-FCM).
  • To enhance resource allocation, fault-tolerance, and energy efficiency in IoT environments.
  • To address the limitations of traditional cloud computing for IoT applications.

Main Methods:

  • Developed a multi-layer IoT-based fog computing model (IoT-FCM).
  • Utilized a genetic algorithm for resource allocation between terminal and fog layers.
  • Implemented a multi-sink version of the least interference beaconing protocol (LIMP) for the terminal layer.

Main Results:

  • IoT-FCM reduced the distance between terminals and fog nodes by at least 38%.
  • Achieved an average energy reduction of 150 KWh for the terminal layer.
  • Maintained comparable delay performance to existing algorithms for high task loads.

Conclusions:

  • IoT-FCM effectively optimizes resource allocation and reduces energy consumption in IoT systems.
  • The proposed model enhances the robustness and efficiency of fog computing architectures.
  • IoT-FCM presents a viable solution for overcoming cloud computing limitations in IoT deployments.