ABDOULAYE , Imourane

Les réseaux de capteurs sans fil (WSN) trouvent de plus en plus des applications dans des domaines tels que la ville intelligente, l'agriculture intelligente, la santé, la fabrication, le monitoring environnemental, etc. Pour de telles applications, des noeuds sont déployés dans des endroits éloignés pour collecter des informations à partir de...

Wireless Sensor Networks (WSNs) are limited by their energy resources, and their energy efficiency depends on how effectively they can optimize energy consumption. WSNs have applications in diverse areas such as environmental data collection and health monitoring. This paper proposes an intelligent energy management approach for WSNs using...

In this paper, we propose a novel strategy for minimizing energy consumption in a Wireless Sensor Network using embedded machine learning techniques. Our approach uses a Convolutional Neural Network model embedded in a cluster head node to predict nodes' data to minimize communication instead of transmission of real one. Thanks to this method,...

Wireless sensor nodes are increasingly deployed to monitor and collect data in remote and inaccessible locations. These nodes transmit the collected information to base stations for further processing. However, one of the major challenges they face is the limited energy resource, which significantly restricts their operational lifetime and,...