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Energy Consumption Analysis of Digital Wireless Communication in Nakagami Fading for IoT Applications

Thitiwut Visarntakul,S. Pattaramalai

Published 2018 in International Symposium on Wireless Personal Multimedia Communications

ABSTRACT

This paper has investigated the impact on energy in point to point wireless communication when varying bit per symbol and optimizing bandwidth to find the way to reduce energy consumption in wireless communication. Nakagami-m fading channel model, pathloss and M-QAM modulation is considered in this work. The numerical result states that located sensors under 10 meters between each sensor can save energy consumption in every fading parameter and bit per symbol. Bandwidth selection is a significant factor that can improve energy-efficient in wireless system, increasing bandwidth from 20kHz to 2MHz can reduce energy consumption up to 80% in severe fading. In addition, optimization bandwidth can save energy, transmitting signal should be sent with appropriate bandwidth for saving energy.

PUBLICATION RECORD

  • Publication year

    2018

  • Venue

    International Symposium on Wireless Personal Multimedia Communications

  • Publication date

    2018-11-01

  • Fields of study

    Computer Science, Engineering, Environmental Science

  • Identifiers
    DOI 10.1109/WPMC.2018.8712939
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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