Enhancing DPM Techniques in Outdoor Industrial WSN Applications
| Autor: | Glaoui Mohamed, Kacem Halim, Gharsallah Ali |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Battery (electricity)
Computer Networks and Communications business.industry Computer science 020208 electrical & electronic engineering Real-time computing General Engineering 020206 networking & telecommunications Context (language use) 02 engineering and technology lcsh:QA75.5-76.95 Power optimization Power (physics) Embedded system 0202 electrical engineering electronic engineering information engineering Node (circuits) ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS lcsh:Electronic computers. Computer science business Standby power Wireless sensor network Efficient energy use |
| Zdroj: | International Journal of Distributed Sensor Networks, Vol 12 (2016) |
| ISSN: | 1550-1477 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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