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Traffic Management Genetic Algorithm Supporting Data Mining and QoS in Sensor Networks

  • Yantao Pan
  • Wei Peng
  • Xicheng Lu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4093)

Abstract

Sensor networks are expected to be used for spatial cognition in harsh environments. When an event happens, there will be several sensors detect it and send their reports to a sink, but these data are neither integrated nor reliable. Therefore, it is reasonable to make use of data mining on intermediate nodes to acquire deeper knowledge on an event and cut down the total traffic at the same time. Furthermore, the QoS requests should be considered too. In this paper, we propose a centralized algorithm to achieve optimal traffic management on sensor networks with considering QoS and data fusion. Its efficiency is shown by experiments.

Keywords

Sensor Network Wireless Sensor Network Ideal Solution Intermediate Node Network Lifetime 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Yantao Pan
    • 1
  • Wei Peng
    • 1
  • Xicheng Lu
    • 1
  1. 1.School of ComputerNational University of Defense TechnologyChangshaP.R. China

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