Data Fusion and Visualization Based on Voronoi Diagrams for Wireless Sensor Networks


The paper presents a framework proposal as a solution to measure, organize and visualize the data from Wireless Sensor Networks, based on the Voronoi diagram. Due to its superior performance, Steven Fortune's algorithm using the plane sweep technique has been employed for generating the Voronoi diagram. Two distinct maps have been developed, one for the visualization of collected data and one for estimating areas with non-existing data. A set of experiments and simulations have been conducted to understand the influence of the size of the network on the framework performance as well as on the number of vertexes and site events.

  • Abstract
  • Keywords:
  • Introduction
  • Related Work
  • Condescend Framework Overview
  • Condescend Implementation
  • Performance Evaluation
  • Conclusion and Future Work
  • References

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