Consensus-based local control schemes for spectrum sharing in cognitive radio sensor networks

Spectrum sharing is an important topic in cognitive radio sensor networks (CRSNs). Bio-inspired consensus-based schemes can provide lightweight and efficient solutions to ensure spectrum sharing fairness in CRSNs. In this paper, in order to achieve the defined spectrum sharing fairness, we propose two schemes called the local control scheme for unbiased fairness (LCS-UF) and the local control scheme for max-min fairness (LCS-MMF). With the local observation and control using surrounding spectrum-related information, an individual cognitive sensor node can effectively perform the spectrum sharing with LCS-UF and LCS-MMF. From simulation results, the use of proposed schemes shows low complexity and effectiveness for spectrum sharing processes in randomly deployed CRSNs.