Extended Water Wave Optimization (EWWO) Technique: A Proposed Approach for Task Scheduling in IoMT and Healthcare Applications
Bapuram, B. Subramanian, M. Mahendran, A. Ghafir, Ibrahim Ellappan, V. Hamada, M.
Bapuram, B.
Subramanian, M.
Mahendran, A.
Ghafir, Ibrahim
Ellappan, V.
Hamada, M.
Publication Date
2024
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© 2024 The Authors. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
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openAccess
Accepted for publication
2024-05-22
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Abstract
The Internet of Medical Things (IoMT) is a version of the Internet of Things (IoT). It is getting the attention of researchers because it can be used in a wide range of Smart healthcare Systems (SHS). One of the main advancements employed recently is the IoMT-cloud, which allows users to access cloud services remotely over the internet. These cloud services require an efficient task scheduling approach that satisfies the Quality of Service (QoS) parameters with a low energy consumption. This paper presents an overview of the integration of IoMT and cloud computing technologies. Besides,this work proposes an efficient Extended Water Wave Optimization (EWWO) task scheduling in the IoMT Cloud for healthcare applications. EWWO algorithm performs based on its operations propagation, refraction and breaking. The proposed EWWO scheduling technique minimizes the energy consumption, makespan time, execution time and increases the resource utilization. Cloudsim simulator is used to simulate the IoMT-Cloud environment to verify the effectiveness of EWWO technique. The performance has been evaluated based on various parameters such as energy consumption, makespan time and execution time.
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Published version
Citation
Bapuram B, Subramanian M, Mahendran A, Ghafir I, Ellappan V, and Hamada M (2024) Extended Water Wave Optimization (EWWO) Technique: A Proposed Approach for Task Scheduling in IoMT and Healthcare Applications. Evolutionary Intelligence. 17: 3609–3620.
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Article