Demo Abstract: Online QoS Adaptation using Fuzzy Control for Indoor Light Energy Harvesting in Wireless Sensor Networks - Archive ouverte HAL Accéder directement au contenu
Poster De Conférence Année : 2017

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

Résumé

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.
Fichier principal
Vignette du fichier
Sips_DemoFuzzyman_IRISA.pdf (1.47 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01613497 , version 1 (09-10-2017)

Identifiants

  • HAL Id : hal-01613497 , version 1

Citer

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⟩
184 Consultations
68 Téléchargements

Partager

Gmail Facebook X LinkedIn More