Rotation Scheme Based Power Consumption Analysis for Wireless Sensor Network
In wireless sensor network (WSN) application, one of the most important problems to be considered is power consumption. As a result, a number of methodologies or methods for analyzing the power consumption of the application have been presented. These methodologies may aid in the prediction of the l...
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Published in | 2022 International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN) pp. 1 - 5 |
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Main Authors | , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
25.03.2022
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Subjects | |
Online Access | Get full text |
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Summary: | In wireless sensor network (WSN) application, one of the most important problems to be considered is power consumption. As a result, a number of methodologies or methods for analyzing the power consumption of the application have been presented. These methodologies may aid in the prediction of the lifespan of WSNs, the providing of suggestions to application developers, and the optimization of the amount of energy utilized by WSN applications. All of the sensors in wireless sensor nodes are rechargeable batteries devices with a limited amount of battery power available. It will be difficult to replace every power supply battery available in the network on an individual basis after deploying of sensor nodes. To sort out these issues, an efficient analyzing technique for analyzing the power consumption of WSN is proposed. In this research work, a prototype model with a simulation model is presented. The proposed research work may lower the amount of power used by each sensor node, while also increasing the life of sensors by shutting down certain of their components in order to achieve higher energy savings and longer life. It is necessary to do an analysis of the power usage of each sensor node before using this power management strategy. As a result of this, the proposed method analyzes the WSN power consumption in real time manner. |
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DOI: | 10.1109/ICSTSN53084.2022.9761311 |