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http://dx.doi.org/10.3837/tiis.2010.01.001

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)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.4, no.1, 2010 , pp. 5-24 More about this Journal
Abstract
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.
Keywords
Wireless sensor networks; data fusion; multi-attribute fusion; energy equilibrium; fusion-driven routing;
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