Enhancing DPM Techniques in Outdoor Industrial WSN Applications
Author(s) -
Halim Kacem,
Mohamed Glaoui,
Gharsallah Ali
Publication year - 2016
Publication title -
international journal of distributed sensor networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.324
H-Index - 53
eISSN - 1550-1477
pISSN - 1550-1329
DOI - 10.1177/155014771350246
Subject(s) - computer science , microcontroller , wireless sensor network , power management , energy consumption , embedded system , node (physics) , context (archaeology) , sensor node , power (physics) , standby power , wireless , key distribution in wireless sensor networks , real time computing , wireless network , computer network , electrical engineering , telecommunications , paleontology , physics , structural engineering , quantum mechanics , biology , engineering
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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