@inproceedings{64b8707657024c539660ebe749175152,
title = "A self-diagnosis method for spectrum sensing algorithm in cognitive radio networks",
abstract = "Spectrum sensing is an important issue in cognitive radio networks (CRNs). In the most techniques, the spectrum sensing is performed on secondary users (SUs) in a CRN. For reducing the loading of the SUs, the wireless spectrum sensor networks (WSSNs) [1] have been proposed. In WSSN, sensors should provide the primary user (PU)'s interference range and states (active or inactive) to secondary users (SUs). However, due to the hardware defect and PU signal fading, sensors' reports may be incorrect. In this paper, we propose sensor self-diagnosis algorithms that can help sensors to check the correctness of interference range of the PU. According to the simulation results, our algorithms have lower sensing error rate than prior work.",
keywords = "Cognitive Radio Networks (CRNs), Distributed Algorithm, Wireless Spectrum Sensor Network (WSSN)",
author = "Huang, {Jen Feng} and Chang, {Guey Yun} and Huang, {Shin Fa} and Wang, {Jyun Fong}",
note = "Publisher Copyright: {\textcopyright} 2015 IPSJ.; 2015 8th International Conference on Mobile Computing and Ubiquitous Networking, ICMU 2015 ; Conference date: 20-01-2015 Through 22-01-2015",
year = "2015",
month = mar,
day = "13",
doi = "10.1109/ICMU.2015.7061023",
language = "???core.languages.en_GB???",
series = "2015 8th International Conference on Mobile Computing and Ubiquitous Networking, ICMU 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "25--29",
booktitle = "2015 8th International Conference on Mobile Computing and Ubiquitous Networking, ICMU 2015",
}