In-network hebbian plasticity for wireless sensor networks

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Samenvatting

In typical Wireless Sensor Networks (WSNs), all sensor data is routed to a more powerful computing entity. In the case of environmental monitoring, this enables data prediction and event detection. When the size of the network increases, processing all the input data outside the network will create a bottleneck at the gateway device. This creates delays and increases the energy consumption of the network. To solve this issue, we propose using Hebbian learning to pre-process the data in the wireless network. This method allows to reduce the dimension of the sensor data, without loosing spatial and temporal correlation. Furthermore, bottlenecks are avoided. By using a recurrent neural network to predict sensor data, we show that pre-processing the data in the network with Hebbian units reduces the computation time and increases the energy efficiency of the network without compromising learning.

Originele taal-2Engels
TitelInternet and Distributed Computing Systems 12th International Conference, IDCS 2019, Proceedings
RedacteurenRaffaele Montella, Angelo Ciaramella, Giancarlo Fortino, Antonio Guerrieri, Antonio Liotta
Plaats van productieBerlin
UitgeverijSpringer
Pagina's79-88
Aantal pagina's10
ISBN van geprinte versie9783030349134
DOI's
StatusGepubliceerd - 1 jan 2019
Evenement12th International Conference on Internet and Distributed Computing Systems, IDCS 2019 - Naples, Italië
Duur: 10 okt 201912 okt 2019

Publicatie series

NaamLecture Notes in Computer Science
Volume11874
ISSN van geprinte versie0302-9743
ISSN van elektronische versie1611-3349

Congres

Congres12th International Conference on Internet and Distributed Computing Systems, IDCS 2019
LandItalië
StadNaples
Periode10/10/1912/10/19

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Citeer dit

van der Lee, T., Exarchakos, G., & de Groot, S. H. (2019). In-network hebbian plasticity for wireless sensor networks. In R. Montella, A. Ciaramella, G. Fortino, A. Guerrieri, & A. Liotta (editors), Internet and Distributed Computing Systems 12th International Conference, IDCS 2019, Proceedings (blz. 79-88). (Lecture Notes in Computer Science; Vol. 11874). Berlin: Springer. https://doi.org/10.1007/978-3-030-34914-1_8