Title
A Low-Cost VLSI Architecture for Robust Distributed Estimation in Wireless Sensor Networks
Abstract
A robust distributed estimation scheme for fusion center in the presence of sensor faults via collaborative sensor fault detection (CSFD) was proposed in our previous research. The scheme can identify the faulty nodes efficiently and improve the accuracy of the estimates significantly. It achieves very good performance at the expense of such extensive computations as logarithm and division in the detecting process. In many real-time WSN applications, the fusion center might be implemented with the ASIC and included in a standalone device. Therefore, a simple and efficient distributed estimation scheme requiring lower hardware cost and power consumption is extremely desired for fusion center. In this paper, we propose the efficient collaborative sensor fault detection (ECSFD) scheme and its VLSI architecture. Given the low circuit complexity, it is suitable for hardware implementation. The circuit of ECSFD contains 22589 gates and requires a core size of 571 × 559 μm2 by using TSMC 0.18 μm cell library. Simulation results indicate the accuracy of the estimates obtained from the ECSFD is better than that obtained from a conventional approach.
Year
DOI
Venue
2011
10.1109/TCSI.2010.2096117
IEEE Trans. on Circuits and Systems
Keywords
Field
DocType
fusion,fusion center,faulty node,real-time wsn application,asic,wireless sensor network,vlsi architecture,sensor fault detection,efficient collaborative sensor fault detection,application specific integrated circuits,size 0.18 mum,vlsi,circuit complexity,robust distributed estimation,wireless sensor networks,distributed estimation,low cost vlsi architecture,sensor fusion,collaboration,computer architecture,hardware,fault detection,indexing terms,very large scale integration,estimation,real time
Circuit complexity,Computer science,Fault detection and isolation,Application-specific integrated circuit,Electronic engineering,Sensor fusion,Fusion center,Logarithm,Very-large-scale integration,Wireless sensor network
Journal
Volume
Issue
ISSN
58
6
1549-8328
Citations 
PageRank 
References 
4
0.45
13
Authors
4
Name
Order
Citations
PageRank
Li-Yuan Chang1464.50
Pei-Yin Chen231438.47
Tsang-Yi Wang324828.07
Ching-Sung Chen440.78