@inproceedings{4b216c5de39d4da78126adbaafa908a0,
title = "On the study of wireless signal noise for designing network infrastructure of knowledge management systems",
abstract = "Knowledge and information management systems are usually supported by wireless networks that strongly rely on reliable received signal strength. The interruption and outage of such system may lead to significant performance disruption. In order to deal with one of the major contributors: noise, this paper investigates the fundamentals of wireless signals and proposes a method to identify and model the noise components quantitatively. We investigate the theoretical method and empirically study two wireless system configurations - one with omnidirectional antennas and one with directional antennas. Results based on real-world experiments confirm the existence and exact contributions of coloured noise components. Based on the preliminary results of this study, future information management systems can be designed with enhanced network support to cope with the variation of signals for improved performance.",
keywords = "Allan variance, Information management system, coloured noise, modelling, wireless signal",
author = "Chunbo Luo and Pablo Casaseca and Xinheng Wang and Keshav Dahal and Cheng Jin and Peng Ren",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 9th International Conference on Software, Knowledge, Information Management and Applications, SKIMA 2015 ; Conference date: 15-12-2015 Through 17-12-2015",
year = "2016",
month = feb,
day = "4",
doi = "10.1109/SKIMA.2015.7400033",
language = "English",
series = "SKIMA 2015 - 9th International Conference on Software, Knowledge, Information Management and Applications",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "SKIMA 2015 - 9th International Conference on Software, Knowledge, Information Management and Applications",
}