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Sensors 2015, 15(2), 4273-4290; doi:10.3390/s150204273

An Accurate Link Correlation Estimator for Improving Wireless Protocol Performance

1
College of Computer Science, Zhejiang University, #38, Zheda Road, Hangzhou 310027, China
2
Zhejiang Provincial Key Lab of Data Storage and Transmission Tech, School of Computer Science, Hangzhou Dianzi University, #1158, Baiyang Block #2, Hangzhou 310027, China
*
Author to whom correspondence should be addressed.
Received: 31 December 2014 / Accepted: 3 February 2015 / Published: 12 February 2015
(This article belongs to the Section Sensor Networks)
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Abstract

Wireless link correlation has shown significant impact on the performance of various sensor network protocols. Many works have been devoted to exploiting link correlation for protocol improvements. However, the effectiveness of these designs heavily relies on the accuracy of link correlation measurement. In this paper, we investigate state-of-the-art link correlation measurement and analyze the limitations of existing works. We then propose a novel lightweight and accurate link correlation estimation (LACE) approach based on the reasoning of link correlation formation. LACE combines both long-term and short-term link behaviors for link correlation estimation. We implement LACE as a stand-alone interface in TinyOS and incorporate it into both routing and flooding protocols. Simulation and testbed results show that LACE: (1) achieves more accurate and lightweight link correlation measurements than the state-of-the-art work; and (2) greatly improves the performance of protocols exploiting link correlation. View Full-Text
Keywords: sensor networks; protocols; link correlation sensor networks; protocols; link correlation
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Zhao, Z.; Xu, X.; Dong, W.; Bu, J. An Accurate Link Correlation Estimator for Improving Wireless Protocol Performance. Sensors 2015, 15, 4273-4290.

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