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An analysis of multicasting optimisation mechanisms for intelligent edge computing with low-power and lossy networks

  • Md Israfil Biswas*
  • , Mohammed Al-Khalidi
  • , Muhammad Atif Ur Rehman
  • , Byung Seo Kim
  • , Ali Kashif Bashir
  • *Corresponding author for this work
    • Manchester Metropolitan University
    • Hongik University

    Research output: Contribution to journalConference articlepeer-review

    Abstract

    This work studies the built-in multicast model in Contiki OS to provide the basis of a comparative evaluation for a new optimisation model using Radio Duty Cycling (RDC) mechanism. A significant amount of energy is consumed at the edge node executing various multicast routing protocols in Low-Power and Lossy Networks (LLN). The optimisation of the routing protocol and selection of an efficient multicast transmission model has the potential to reduce energy consumption in Edge Computing (EC) enabled LLN. With the precise objective of reducing energy consumption, this paper utilises a well-known RDC technique in multicast communication scenarios. To this end, a series of experiments are conducted to evaluate the performance of the existing RDC mechanisms proposed in the literature. The evaluation results are then utilised to develop an efficient RDC-based multicast transmission model. The comparative performance analysis reveals a 23.7% reduction in the RDC rate compared to the traditional model, consequently improving the energy consumption of EC-enabled LLN.

    Original languageEnglish
    JournalIEEE Wireless Communications and Networking Conference, WCNC
    DOIs
    Publication statusPublished - 12 May 2023
    Event2023 IEEE Wireless Communications and Networking Conference, WCNC 2023 - Glasgow, United Kingdom
    Duration: 26 Mar 202329 Mar 2023

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 7 - Affordable and Clean Energy
      SDG 7 Affordable and Clean Energy

    Keywords

    • Edge Computing
    • Energy Efficiency
    • Multicasting
    • RDC
    • RPL

    ASJC Scopus subject areas

    • General Engineering

    Research Themes

    • 5G/6G Networks and IoT

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