Demo Abstract: Online QoS Adaptation using Fuzzy Control for Indoor Light Energy Harvesting in Wireless Sensor Networks

Abstract : The bottleneck of long-term Wireless Sensor Network (WSN) applications is typically the energy. A promising solution is to enable each node to harvest energy directly in its environment, using individual energy harvesters. In energy harvesting WSNs, an important issue is the online adaptation of the node power consumption to avoid power failures while maintaining a good quality of service. This management is implemented on each node by an Energy Manager (EM). In this demonstration, Fuzzyman, a novel EM relying on fuzzy control theory, is applied to indoor light energy harvesting. The online adaptation of Fuzzyman is shown in terms of packet rate generation.
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Poster
IEEE International Workshop on Signal Processing Systems (SiPS), Oct 2017, Lorient, France
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Contributeur : Matthieu Gautier <>
Soumis le : lundi 9 octobre 2017 - 16:36:57
Dernière modification le : mercredi 16 mai 2018 - 11:24:10
Document(s) archivé(s) le : mercredi 10 janvier 2018 - 14:14:40

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Sips_DemoFuzzyman_IRISA.pdf
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  • HAL Id : hal-01613497, version 1

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Mickael Le Gentil, Fayçal Ait Aoudia, Matthieu Gautier, Olivier Berder. Demo Abstract: Online QoS Adaptation using Fuzzy Control for Indoor Light Energy Harvesting in Wireless Sensor Networks. IEEE International Workshop on Signal Processing Systems (SiPS), Oct 2017, Lorient, France. 〈hal-01613497〉

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