Title :

Wake-up radio receiver based on Spiking Neurons for detecting activation sequence

Author(s) :

Marthe, Guillaume [Auteur]
Modèle et algorithmes pour des systèmes de communication fiables [MARACAS]
CITI Centre of Innovation in Telecommunications and Integration of services [CITI]
Goursaud, Claire [Auteur]
Modèle et algorithmes pour des systèmes de communication fiables [MARACAS]
Clavier, Laurent [Auteur]
Circuits Systèmes Applications des Micro-ondes - IEMN [CSAM - IEMN ]
Institut de Recherche sur les Composants logiciels et matériels pour l'Information et la Communication Avancée - UAR 3380 [IRCICA]
Centre for Digital Systems [CERI SN - IMT Nord Europe]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]

Conference title :

IEEE Wireless Communications and Networking Conference (WCNC 2023)

City :

Glasgow

Country :

Royaume-Uni

Start date of the conference :

2023-03-26

Journal title :

2023 IEEE Wireless Communications and Networking Conference (WCNC)

Publisher :

IEEE

English keyword(s) :

Spiking Neural Network
Wake-Up Radios
Active sequence detection

HAL domain(s) :

Informatique [cs]/Réseaux et télécommunications [cs.NI]
Informatique [cs]/Réseau de neurones [cs.NE]
Informatique [cs]/Traitement du signal et de l'image [eess.SP]

English abstract : [en]

Energy consumption is a critical issue for the deployed nodes in the area of Internet of Things (IoT). This is the reason why many research projects focus on Wake-up Radio (WuR) receivers that permit the nodes to remain ...
Show more >Energy consumption is a critical issue for the deployed nodes in the area of Internet of Things (IoT). This is the reason why many research projects focus on Wake-up Radio (WuR) receivers that permit the nodes to remain in sleep mode for as long as possible and to wake them up only if needed. However, current WuR use classic microcontrollers that are still too energy consuming. Meanwhile, Spiking Neural Networks (SNN) offer much lower power consumption. Thus, we propose to adapt those neural networks as a wake-up radio receiver in the IoT context. We aim at waking up the concerned node by recognising one or many activation sequences in a bit flow. We propose here a configuration for the neurons along with the design of appropriate sequences. We present the performances of our system and the impact of different parameters on the accuracy of the recognition system.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

ANR Project :

Wake-Up radio très faible consommation

Collections :

• Institut d'Électronique, de Microélectronique et de Nanotechnologie (IEMN) - UMR 8520

Source :

Harvested from HAL