Adaptive Filter for Energy Predictor in Energy Harvesting Wireless Sensor Networks
In: 26th IEEE International Conference on Architecture of Computing Systems (ARCS), 3rd Workshop on Ultra Low Power (WUPS) ; https://hal.archives-ouvertes.fr/hal-00921309 ; 26th IEEE International Conference on Architecture of Computing Systems (ARCS), 2013
Konferenz
Zugriff:
International audience ; To design an autonomous Wireless Sensor Network(WSN), the harvested energy from environmental sources hasbeen considered as a potential solution for long-term operations.A power manager embedded in the energy harvesting WSNsadapts the power consumption and computation loads accordingto the harvested energy to obtain a theoretically infinite lifetime. In order to design an effective power manager, it is of prime interest to benefit from an accurate energy predictor to estimate the energy that can be harvested in the near future. In this paper, a low complexity energy predictor using adaptive filter in proposed. Our predictor has a low memory requirement as it is only based on a previous historical harvested energy to estimate the future energy. Simulation results show that our energy predictor using adaptive filter can be applied for both solar and wind energy with an average error less than 15%.
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Adaptive Filter for Energy Predictor in Energy Harvesting Wireless Sensor Networks
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Autor/in / Beteiligte Person: | Le, Trong-Nhan ; Sentieys, Olivier ; Berder, Olivier ; Pegatoquet, Alain ; Belleudy, Cécile ; Energy Efficient Computing ArchItectures with Embedded Reconfigurable Resources (CAIRN) ; (IRISA-D3), ARCHITECTURE ; Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA) ; CentraleSupélec-Télécom Bretagne-Université de Rennes 1 (UR1) ; Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Rennes (ENS Rennes)-Université de Bretagne Sud (UBS)-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes) ; Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Télécom Bretagne-Université de Rennes 1 (UR1) ; Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA) ; Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Inria Rennes – Bretagne Atlantique ; Institut National de Recherche en Informatique et en Automatique (Inria) ; Laboratoire d'Electronique, Antennes et Télécommunications (LEAT) ; Université Nice Sophia Antipolis (. - 2019) (UNS) ; COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA) |
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Zeitschrift: | 26th IEEE International Conference on Architecture of Computing Systems (ARCS), 3rd Workshop on Ultra Low Power (WUPS) ; https://hal.archives-ouvertes.fr/hal-00921309 ; 26th IEEE International Conference on Architecture of Computing Systems (ARCS), 2013 |
Veröffentlichung: | HAL CCSD, 2013 |
Medientyp: | Konferenz |
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