Real-time data delivery in wireless sensor networks: a data-aggregated, cluster-based adaptive approach

  • Authors:
  • Shao-liang Peng;Shan-shan Li;Yu-xing Peng;Wen-sheng Tang;Nong Xiao

  • Affiliations:
  • School of Computer, National University of Defense Technology, Changsha, China;School of Computer, National University of Defense Technology, Changsha, China;School of Computer, National University of Defense Technology, Changsha, China;School of Computer, National University of Defense Technology, Changsha, China;School of Computer, National University of Defense Technology, Changsha, China

  • Venue:
  • UIC'07 Proceedings of the 4th international conference on Ubiquitous Intelligence and Computing
  • Year:
  • 2007

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Abstract

Since sensor networks deal with real world, real-time data delivery is often necessary for communication. The cluster-based data aggregation has emerged as a basic technique in sensor networks. However, there is a trade-off issue between aggregation waiting delay and aggregation accuracy. Therefore, we propose a Delay Sensitive Feedback Control (DSFC) model to solve the trade-off issue. More, we present a new inter-cluster congestion avoidance mechanism: Emergent Packet Channel Reservation (EPCR) to accelerate the transmission of emergent packets in inter-cluster routing. Our goal is to build an end-to-end fast path for emergent packets when emergent event occurs. Simulation results verify the performance of DSFC and EPCR, and demonstrate their attraction.