2025-01-282025-01-2820119788461464579https://hdl.handle.net/11441/167651Wireless Sensor Networks (WSNs) are popular nowadays for multiple applications which include environmental monitoring, seismic detection and surveillance. The nodes in WSNs deplete of their very limited energy over time. Current approach proposes a method to save energy in a WSN by reducing the number of sensor transmissions. During a training period, the central server of the network analyzes arrived messages routes to determine routing rules for each sensor. After the training time, the server reconfigures the network adding the computed rules to the nodes to improve the message routing. Through the numerical results, we show that our approach can save up to 25.5% of the energy consumed by the nodes.application/pdf4 p.engAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/bookPartinfo:eu-repo/semantics/openAccess