title: An accurate link correlation estimator for improving wireless protocol performance.
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.
authors: College of Computer Science, Zhejiang University, #38, Zheda Road, Hangzhou 310027, China. zhaozw@zju.edu.cn.
authors: Zhiwei
authors: Z
authors: Zhao
authors: Zhejiang Provincial Key Lab of Data Storage and Transmission Tech, School of Computer Science, Hangzhou Dianzi University, #1158, Baiyang Block #2, Hangzhou 310027, China. xuxhcs@zju.edu.cn.
authors: Xianghua
authors: X
authors: Xu
authors: College of Computer Science, Zhejiang University, #38, Zheda Road, Hangzhou 310027, China. dongw@zju.edu.cn.
authors: Wei
authors: W
authors: Dong
authors: College of Computer Science, Zhejiang University, #38, Zheda Road, Hangzhou 310027, China. bjj@zju.edu.cn.
authors: Jiajun
authors: J
authors: Bu
mesh_terms: D059015:Wireless Technology