A New Task Scheduling Approach for Energy Conservation in Internet of Things

Man-Wen Tian, Shu-Rong Yan, Wei Guo, Ardashir Mohammadzadeh () and Ebrahim Ghaderpour ()
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Man-Wen Tian: National Key Project Laboratory, Jiangxi University of Engineering, Xinyu 338000, China
Shu-Rong Yan: National Key Project Laboratory, Jiangxi University of Engineering, Xinyu 338000, China
Wei Guo: School of Credit Management, Guangdong University of Finance, Guangzhou 510521, China
Ardashir Mohammadzadeh: Multidisciplinary Center for Infrastructure Engineering, Shenyang University of Technology, Shenyang 110870, China
Ebrahim Ghaderpour: Department of Earth Sciences and CERI Research Centre, Sapienza University of Rome, Piazzale Aldo-Moro, 5, 00185 Rome, Italy

Energies, 2023, vol. 16, issue 5, 1-14

Abstract: Internet of Things (IoT) and mobile edge computing (MEC) architectures are common in real-time application scenarios for improving the reliability of service responses. Energy conservation (EC) and energy harvesting (EH) are significant concerns in such architectures due to the self-sustainable devices and resource-constraint edge nodes. The density of the users and service requirements are further reasons for energy conservation and the need for energy harvesting in these scenarios. This article proposes decisive task scheduling for energy conservation (DTS-EC). The proposed energy conservation method relies on conditional decision-making through classification disseminations and energy slots for data handling. By classifying the energy requirements and the states of the mobile edge nodes, the allocation and queuing of data are determined, preventing overloaded nodes and dissemination. This process is recurrent for varying time slots, edge nodes, and tasks. The proposed method is found to achieve a high data dissemination rate (8.16%), less energy utilization (10.65%), and reduced latency (11.44%) at different time slots.

Keywords: decision-making; edge nodes; energy harvesting; IoT; task scheduling (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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