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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Toward IoT fog computing-enabled system energy consumption modeling and optimization by adaptive TCP/IP protocol.

Aladdin Masri1, Muhannad Al-Jabi1

  • 1Computer Engineering Department, An-Najah National University, Nablus, Palestine.

Peerj. Computer Science
|August 26, 2021
PubMed
Summary

Increasing the Maximum Transmission Unit (MTU) size in the Fog of Internet of Things (IoT) networks effectively reduces energy consumption for data transmission. This finding offers a promising approach for optimizing energy efficiency in wireless IoT environments.

Keywords:
Energy consumptionFOG computingIoTMTU sizeTCPWireless networks

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Networking

Background:

  • The proliferation of wireless technologies and delay-sensitive applications necessitates efficient resource management in the Fog of Internet of Things (IoT).
  • Energy consumption in wireless IoT networks, particularly for data-intensive applications, is a significant challenge.
  • Existing energy efficiency solutions often overlook the impact of the Transmission Control Protocol (TCP) and Maximum Transmission Unit (MTU) size.

Purpose of the Study:

  • To investigate the relationship between MTU size and energy consumption in wireless Fog of IoT networks.
  • To develop an effective model for reducing energy consumption in these networks.
  • To provide insights for optimizing networking and computing resources for energy efficiency.

Main Methods:

  • Measured actual energy consumption across different MTU sizes using real traffic data.
  • Generalized the model to estimate network-wide energy consumption based on various network parameters.
  • Conducted experiments on diverse devices utilizing multiple techniques.

Main Results:

  • A clear inverse proportional relationship was observed between MTU size and energy consumption.
  • Larger MTU sizes lead to reduced energy usage during data transmission.
  • The findings demonstrate a quantifiable method for energy saving in wireless IoT.

Conclusions:

  • Optimizing MTU size is a viable strategy for enhancing energy efficiency in Fog of IoT networks.
  • The proposed model offers a practical approach to reduce energy consumption in delay-sensitive applications.
  • These results can be integrated with existing methods to achieve optimal energy solutions for IoT and wireless networks.