32 citations · 43 across the 7 of their papers we have counts for
8 papers · 1 filter
Cloud Empowered Self-Managing WSNs
Gabriel Martins Dias, Cintia Borges Margi, Filipe C. P. de Oliveira +1
Wireless Sensor Networks (WSNs) are composed of low powered and resource-constrained wireless sensor nodes that are not capable of performing high-complexity algorithms. Integratin…
A Survey about Prediction-Based Data Reduction in Wireless Sensor Networks
Gabriel Martins Dias, Boris Bellalta, Simon Oechsner
One of the main characteristics of Wireless Sensor Networks (WSNs) is the constrained energy resources of their wireless sensor nodes. Although this issue has been addressed in sev…
Performance Optimization of WSNs using External Information
Gabriel Martins Dias
The goal of this work is to describe a self-management system that correlates data sensed by different Wireless Sensor Networks (WSNs) and adjusts the number of active nodes in eac…
Adapting Sampling Interval of Sensor Networks Using On-Line Reinforcement Learning
Gabriel Martins Dias, Maddalena Nurchis, Boris Bellalta
Monitoring Wireless Sensor Networks (WSNs) are composed of sensor nodes that report temperature, relative humidity, and other environmental parameters. The time between two success…
On the importance and feasibility of forecasting data in sensors
Gabriel Martins Dias, Boris Bellalta, Simon Oechsner
The first generation of wireless sensor nodes have constrained energy resources and computational power, which discourages applications to process any task other than measuring and…
The Impact of Dual Prediction Schemes on the Reduction of the Number of Transmissions in Sensor Networks
Gabriel Martins Dias, Boris Bellalta, Simon Oechsner
Future Internet of Things (IoT) applications will require that billions of wireless devices transmit data to the cloud frequently. However, the wireless medium access is pointed as…
Towards information-centric WSN simulations
Gabriel Martins Dias, Boris Bellalta, Simon Oechsner
In pursuance of integrating Wireless Sensor Networks (WSNs) with other systems, the use of techniques from other fields, such as machine learning and information processing, are be…
A Centralized Mechanism to Make Predictions Based on Data From Multiple WSNs
Gabriel Martins Dias, Simon Oechsner, Boris Bellalta
In this work, we present a method that exploits a scenario with inter-Wireless Sensor Networks (WSNs) information exchange by making predictions and adapting the workload of a WSN…