Impact of correlation in node locations on the performance of distributed compression

  • Authors:

  • Frank Oldewurtel;Janne Riihijärvi;Petri Mühönen

  • Affiliations:

  • Department of Wireless Networks, RWTH Aachen University, Aachen, Germany;Department of Wireless Networks, RWTH Aachen University, Aachen, Germany;Department of Wireless Networks, RWTH Aachen University, Aachen, Germany

  • Venue:
  • WONS'09 Proceedings of the Sixth international conference on Wireless On-Demand Network Systems and Services
  • Year:
  • 2009

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Abstract

In this paper we analyze the impact of correlation in both node locations and sensed phenomenon on the performance of distributed compression. In particular, we consider the optimization of Wireless Sensor Networks (WSNs) in realistic environments. Distributed Source Coding (DSC) is a compression technique performed by, for example, data gathering applications in which energy consumption and bandwidth usage are important factors. In this work, we consider different node deployment strategies and include in our study models of sensed data with different correlation types in order to model more realistic WSNs. Our evaluation takes into account the transmission overhead and signal processing costs associated with distributed compression. The energy model applied makes use of measurements obtained from real experiments. From the analysis we derive a novel metric which is essentially based on correlations of node locations and sensed phenomena. This metric enables the performance estimation of WSNs applying DSC prior to the costly real deployment. Furthermore, we show that significant average energy savings and average lifetime extensions are possible using DSC under different node deployment strategies and different data correlation structures.