Trust-Based Energy Efficient Spectrum Sensing in Cognitive Radio Networks

An energy efficient collaborative spectrum sensing (EE-CSS) protocol, based on trust management, is proposed. The protocol reduces the total number of sensing reports exchanged between the secondary users (SUs) and the secondary user base station (SUBS) when compared to a traditional collaborative spectrum sensing (T-CSS) protocol in which each SU transmits a sensing report to the SUBS. In addition, the minimum total number of sensing reports required to satisfy a target global false alarm and miss detection probabilities in T-CSS is shown to be higher than that in EE-CSS. Expressions for the average steady-state trust values of SUs and the average total number of sensing reports transmitted by the SUs to the SUBS in EE-CSS are derived. The global false alarm (FA) and miss detection (MD) probabilities are analyzed for a commonly used decision fusion technique.