Research Article
Consensus-based Spectrum Sensing in Cognitive Radio Networks
@ARTICLE{10.4108/eai.5-9-2016.151644, author={Natalia Y. Ermolova and Olav Tirkkonen}, title={Consensus-based Spectrum Sensing in Cognitive Radio Networks}, journal={EAI Endorsed Transactions on Cognitive Communications}, volume={2}, number={7}, publisher={EAI}, journal_a={COGCOM}, year={2016}, month={9}, keywords={cognitive radio networks, distributed spectrum sensing, so-cial wireless networks, wireless propagation.}, doi={10.4108/eai.5-9-2016.151644} }- Natalia Y. Ermolova
Olav Tirkkonen
Year: 2016
Consensus-based Spectrum Sensing in Cognitive Radio Networks
COGCOM
EAI
DOI: 10.4108/eai.5-9-2016.151644
Abstract
In this work, we analyze a distributed cooperative spectrum sensing scheme where N secondary users (SUs) of a cognitive wireless net-work make a joint decision on the primary user (PU) presence based on an agreement reached through interchanging of SU’s individual decisions. The operational protocol assumes that each SU updates the personal de-cision by using the “K-out-of-N” rule, and the network detects the PU if the nodes reach the consensus. The problem of forming a joint opinion becomes challenging because a SU makes its personal decision based on local observations distorted by a wireless propagation medium. In this paper, we analyze statistics of factors affecting the algorithm efficiency and obtain sufficient conditions of reaching consensus. The presented analysis takes into account possible node disconnections caused by poor propagation conditions.
Copyright © 2016 Natalia Y. Ermolova and Olav Tirkkonen, licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
