DOI QR코드

DOI QR Code

Multi-Attribute Data Fusion for Energy Equilibrium Routing in Wireless Sensor Networks

  • Lin, Kai (School of Electronic and Information Engineering, Dalian University of Technology) ;
  • Wang, Lei (School of Software Engineering, Dalian University of Technology) ;
  • Li, Keqiu (School of Electronic and Information Engineering, Dalian University of Technology) ;
  • Shu, Lei (Nishio Lab., Department of Multimedia Engineering, Graduate School of Information Science and Technology, Osaka University)
  • 발행 : 2010.02.27

초록

Data fusion is an attractive technology because it allows various trade-offs related to performance metrics, e.g., energy, latency, accuracy, fault-tolerance and security in wireless sensor networks (WSNs). Under a complicated environment, each sensor node must be equipped with more than one type of sensor module to monitor multi-targets, so that the complexity for the fusion process is increased due to the existence of various physical attributes. In this paper, we first investigate the process and performance of multi-attribute fusion in data gathering of WSNs, and then propose a self-adaptive threshold method to balance the different change rates of each attributive data. Furthermore, we present a method to measure the energy-conservation efficiency of multi-attribute fusion. Based on our proposed methods, we design a novel energy equilibrium routing method for WSNs, viz., multi-attribute fusion tree (MAFT). Simulation results demonstrate that MAFT achieves very good performance in terms of the network lifetime.

키워드

참고문헌

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피인용 문헌

  1. Editorial - Distributed intelligence and data fusion for sensor systems vol.5, pp.12, 2010, https://doi.org/10.1049/iet-com.2011.0534
  2. Mobility-based clustering protocol for wireless sensor networks with mobile nodes vol.1, pp.1, 2010, https://doi.org/10.1049/iet-wss.2010.0084
  3. Research on energy efficient fusion-driven routing in wireless multimedia sensor networks vol.2011, pp.1, 2010, https://doi.org/10.1186/1687-1499-2011-142
  4. A Hop-by-hop Cross-layer Congestion Control Scheme for Wireless Sensor Networks vol.6, pp.12, 2010, https://doi.org/10.4304/jsw.6.12.2434-2440