Enhancing DPM Techniques in Outdoor Industrial WSN Applications
The main challenge during designing a new node is reducing the power consumption as much as possible to maximize the lifetime of wireless sensor network (WSN) since most nodes are powered from a finite source of energy, in general nonrechargeable battery. In this paper we propose a solution to minim...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2016-07-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/155014771350246 |
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| Summary: | The main challenge during designing a new node is reducing the power consumption as much as possible to maximize the lifetime of wireless sensor network (WSN) since most nodes are powered from a finite source of energy, in general nonrechargeable battery. In this paper we propose a solution to minimize the power consumed by the microcontroller (MCU), which is the main processing component in the node. Our energy power optimization solution is based on two techniques: firstly enhance dynamic power management (DPM) policies by reducing MCU consumption during standby mode; secondly, focus on temperature impact on low power consumption. In this context, a microcontroller dynamic power management (MDPM) algorithm is proposed to improve DPM scheme. This algorithm is deployed on a measurement circuit able to calculate the consumption during the different low power modes in real environments conditions and then selects the better one. These two techniques are combined in a novel way to provide an efficient energy solution for wireless sensor networks nodes. Our solution is validated and qualified with STM32F446RE MCU. |
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| ISSN: | 1550-1477 |