Paper Info
Title
Link Quality Estimation of Cross-Technology Communication
Abstract
Research on Cross-technology communication (CTC) has made rapid progress in recent years, but how to estimate the quality of a CTC link remains an open and challenging problem. Through our observation and study, we find that none of the existing approaches can be applied to estimate the link quality of CTC. Built upon the physical-level emulation, transmission over a CTC link is jointly affected by two factors: the emulation error and the channel distortion. We in this paper propose a new link metric called C-LQI and a joint link model that simultaneously takes into account the emulation error and the channel distortion in the process of CTC. We further design a light-weight link estimation approach to estimate C-LQI and in turn the PRR over the CTC link. We implement C-LQI and compare it with two representative link estimation approaches. The results demonstrate that C-LQI reduces the relative error of link estimation respectively by 46% and 53% and saves the communication cost by 90%.
Year
DOI
Venue
2020
10.1109/INFOCOM41043.2020.9155437
IEEE INFOCOM 2020 - IEEE Conference on Computer Communications
Keywords
DocType
ISSN
cross technology communication,link quality estimation
Conference
0743-166X
ISBN
Citations 
PageRank 
978-1-7281-6413-7
2
0.36
References 
Authors
15
5
Name
Order
Citations
PageRank
Jia Zhang1143.98
Xiuzhen Guo2232.71
Haotian Jiang3122.93
Xiaolong Zheng415023.15
Yuan He5101281.82