António Casimiro

Improving sensor-fusion with environmental models

Gonçalo Jesus, Anabela Oliveira, Alberto Azevedo and António Casimiro

Proceedings of 2015 IEEE Sensors, Busan, South Korea, November 2015


This paper presents an algorithm to improve sensor fusion results in outdoor WSNs using environmental models to redefine periodically which sensors to use and the amount of weight for each particular sensor in the fusion solution. Using daily forecast simulations of the monitored environment dynamics, clusters of sensor nodes sharing data correlation can be defined, for priority sensor selection in a fusion algorithm. The strategy was validated in an operational aquatic sensor network comprised of several sensors scattered over a multiple square kilometers area. It allowed the use of geographically separated nodes with confidence and sometimes even in alternative of closer nodes, unlike most fusion approaches that use quasi-redundant information provided by nearby sensor nodes. This approach represents a major step in the creation of a framework to assess the validity of the monitoring data in WSNs.


  author       = "Jesus, G. and Oliveira, A. and Azevedo, A. and Casimiro, A.},
  title        = "Improving sensor-fusion with environmental models",
  booktitle    = "SENSORS, 2015 IEEE",
  year         = "2015",
  month        = nov,
  pages        = "1-4",
  abstractURL  = "",
  documentURL  = "",
  keywords     = "environmental factors;oceanographic techniques;sensor fusion;wireless sensor networks;WSN;data correlation;environmental dynamic model;operational aquatic sensor network;sensor node sharing;sensor-fusion;Data models;Heuristic algorithms;Monitoring;Predictive models;Sensor fusion;Temperature measurement;Temperature sensors;Data Fusion;Faulty Sensors;Outdoor WSNs;Sensor Quality", 


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