A DECENTRALIZED APPROACH FOR DETECTING DYNAMICALLY CHANGING DIFFUSE EVENT SOURCES IN NOISY WSN ENVIRONMENTS

  • Authors:

  • JoseLuis Fernandez-Marquez;JosepLluis Arcos;GiovannaDi Marzo Serugendo

  • Affiliations:

  • IIIA-CSIC, Spanish National Research Institute, Campus UAB, Bellaterra, Spain;IIIA-CSIC, Spanish National Research Institute, Campus UAB, Bellaterra, Spain;Centre Universitaire d'Informatique, University of Geneva, Switzerland

  • Venue:
  • Applied Artificial Intelligence - Eighth European Workshop on Multi-Agent Systems EUMAS 2010
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

Abstract

Localizing dynamically changing diffuse event sources in real environments is still an open problem in wireless sensor networks WSN. The dynamism of the environment, the energy limitations of the sensors, and the noise associated to the sensors' measurements pose a challenge that begs a realistic solution. In this article we propose a decentralized approach to detect diffuse event sources in dynamic and noisy environments, using a wireless sensor network infrastructure. Our approach is gradient based and follows a distributed and decentralized algorithm based on local interactions and local knowledge of the environment. Reported experiments show that our approach efficiently adapts in tracking the event sources as they appear, is scalable, and is robust to noise and failures.