El Hejjaji, Abduurrahim H. and Mohd. Sam, Suriani and Mohamed, Norliza and Kamardin, Kamilia and Ahmad, Norulhusna and Md. Yusof, Yusnaidi (2021) Energy consumption in wireless IoT- a review. Open International Journal of Informatics (OIJI), 9 (1). pp. 88-99. ISSN 2289-2370
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Official URL: https://oiji.utm.my/index.php/oiji/article/view/2
Abstract
The Internet of Things (IoT) is a rising innovation, including a wide range of uses identified with modern control, savvy metering, home mechanization, horticulture, health, etc. For these applications to run independent the IoT gadgets are required to make do for a considerable length of time and years under severe vitality imperatives. When growing such applications, it is significant for the application to think about its own energy consumption. In this work, we propose and assess an energy consumption estimation approach for occasional detecting applications running on the IoT gadgets. Our methodology depends on three stages. In the main stage, we distinguish the unmistakable exercises, for example, rest, transmit, detect and process in a detecting cycle. In the subsequent stage, we measure the power consumption of these exercises before the IoT gadget has been conveyed in the arrange. The third stage happens at run-time once the IoT gadget has been sent, to convey the energy consumption of a detecting cycle. The energy consumption is determined by utilizing the exercises control and their spans acquired at run-time. The proposed methodology is basic and conventional on the grounds that it doesn’t include any intricate equipment for runtime control estimation. Besides, this methodology likewise consolidates the dynamic idea of detecting applications by run-time estimation of energy consumption.
Item Type: | Article |
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Uncontrolled Keywords: | energy consumption, internet of things, energy efficiency, wireless sensor network |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Razak School of Engineering and Advanced Technology |
ID Code: | 97497 |
Deposited By: | Yanti Mohd Shah |
Deposited On: | 10 Oct 2022 08:36 |
Last Modified: | 10 Oct 2022 08:36 |
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