Submit

Login Login

Register Register

Home / Journals / CMC / Online First / doi:10.32604/cmc.2026.078988
Journal Menu
Special Issues
Table of Content

All issues

Online First

2026

2025

2024

2023

2022

2021

2020

2019

2018

2017

2016

2015

2014

2013

2012

2011

2010

2009

2008

2007

2006

2005

2004

Open Access

ARTICLE

Energy-Efficient Data Dissemination Approach Using Multiple-Criteria Decision Modeling for Internet of Things Environments

Ambreen Memon1, Aaron Bere1, Muhammad Nadeem Ali2, Byung-Seo Kim2,*
1 Information Technology Department, Torrens University, Melbourne, VIC, Australia
2 Department of Software and Communications Engineering, Hongik University, Sejong-si, Republic of Korea
* Corresponding Author: Byung-Seo Kim. Email: email

Computers, Materials & Continua https://doi.org/10.32604/cmc.2026.078988

Received 12 January 2026; Accepted 23 April 2026; Published online 19 May 2026

Abstract

The modern internet infrastructure has enabled numerous applications by providing a seamless connectivity experience across each mode of connectivity. Infrastructure-based connectivity and device-to-device (D2D) are well-known connectivity modes for internet-based applications. The selection of the underlying communication medium significantly affects energy consumption during data transfer. This study proposes an Energy-Efficient Data Dissemination Approach (EEDDA) that integrates encounter prediction with a multi-criteria decision-making (MCDM) framework to reduce infrastructure-based energy consumption in IoT mobility environments. Unlike traditional optimization approaches that focus on single-objective routing or static network models, the proposed framework dynamically selects between Device-to-Device (D2D) and Internet-based transmission based on delay tolerance, encounter probability, data size, and energy consumption metrics. Real mobility traces from the publicly available University of Southern California (USC) dataset were used for validation. Simulation results demonstrate that under high delay tolerance scenarios, the proposed approach achieves up to 70%–80% reduction in energy consumption compared to conventional Internet-based transmission while maintaining Quality of Service (QoS).

Keywords

Internet of things; device-to-device communication; energy efficiency; multi-criteria decision modeling; delay tolerant network

  • 22

    View

  • 4

    Download

  • 0

    Like

Related articles
Copyright© 2026 Tech Science Press
© 1997-2026 TSP (Henderson, USA) unless otherwise stated

Share Link