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A Review on Optimizing Offloading Performance in Heterogeneous IoT using Mobile Edge Devices as Nodes

by Mardhani Riasetiawan, Ahmad Ashari, Roghib Muhammand Hujja
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 184 - Number 46
Year of Publication: 2023
Authors: Mardhani Riasetiawan, Ahmad Ashari, Roghib Muhammand Hujja
10.5120/ijca2023922564

Mardhani Riasetiawan, Ahmad Ashari, Roghib Muhammand Hujja . A Review on Optimizing Offloading Performance in Heterogeneous IoT using Mobile Edge Devices as Nodes. International Journal of Computer Applications. 184, 46 ( Feb 2023), 5-11. DOI=10.5120/ijca2023922564

@article{ 10.5120/ijca2023922564,
author = { Mardhani Riasetiawan, Ahmad Ashari, Roghib Muhammand Hujja },
title = { A Review on Optimizing Offloading Performance in Heterogeneous IoT using Mobile Edge Devices as Nodes },
journal = { International Journal of Computer Applications },
issue_date = { Feb 2023 },
volume = { 184 },
number = { 46 },
month = { Feb },
year = { 2023 },
issn = { 0975-8887 },
pages = { 5-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume184/number46/32612-2023922564/ },
doi = { 10.5120/ijca2023922564 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:24:04.691892+05:30
%A Mardhani Riasetiawan
%A Ahmad Ashari
%A Roghib Muhammand Hujja
%T A Review on Optimizing Offloading Performance in Heterogeneous IoT using Mobile Edge Devices as Nodes
%J International Journal of Computer Applications
%@ 0975-8887
%V 184
%N 46
%P 5-11
%D 2023
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Offloading, the process of transferring data and tasks from one device to another has been identified as a promising approach for improving performance and reducing workload in the Internet of Things (IoT). However, offloading in a heterogeneous IoT environment, with a wide range of devices and technologies, can be challenging. Mobile edge devices, which provide low-latency connectivity and perform computation at the edge of the network, have been proposed to optimize offloading performance in such an environment. In this literature review, we examine the existing research on using mobile edge devices as nodes for offloading in heterogeneous IoT. We present a comprehensive overview of the various approaches and techniques proposed for selecting the most appropriate device to handle offloaded tasks, including using machine learning algorithms for predicting performance and optimizing the offloading decision-making process. We also discuss the challenges and limitations of these approaches and provide directions for future research. Our review highlights the potential of mobile edge devices as a solution for improving offloading performance in heterogeneous IoT and serves as a valuable resource for researchers and practitioners working in this field.

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Index Terms

Computer Science
Information Sciences

Keywords

Offloading IoT Mobile Edge Devices Machine Learning

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