Name
Title | ||
|---|---|---|
Energy Efficient Collaborative Spectrum Sensing Based on Trust Management in Cognitive Radio Networks |
Abstract | ||
|---|---|---|
An energy efficient collaborative spectrum sensing (EE-CSS) protocol, based on trust management, is proposed. The protocol achieves energy efficiency by reducing the total number of sensing reports exchanged between the honest secondary users (HSUs) and the secondary user base station (SUBS) in a traditional collaborative spectrum sensing (T-CSS) protocol. It is shown that the minimum total number of sensing reports required to satisfy a target global false alarm (FA) and missed detection (MD) probabilities in T-CSS is higher than that in EE-CSS. Expressions for the steady-state average SU trust value τ̅ and total number N̅ of SU sensing reports transmitted are derived, as is an expression for the energy consumption, in EE-CSS and T-CSS. The global FA and detection probabilities Qf and Qd are obtained for a commonly used decision fusion technique. The impact of link outages on τ̅, N̅, Qf, and Qd is also analyzed. The results show that the energy consumption in EE-CSS can be much lower compared to that in T-CSS for long range communications where the transmit energy is dominant. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/TWC.2014.2377017 | Wireless Communications, IEEE Transactions |
Keywords | Field | DocType |
cognitive radio,energy conservation,energy consumption,multiuser detection,probability,protocols,radio spectrum management,telecommunication network reliability,telecommunication power management,ee-css protocol,hsu,md probabilities,subs,t-css protocol,cognitive radio networks,decision fusion technique,energy efficiency,energy efficient collaborative spectrum sensing protocol,global fa,global false alarm,honest secondary users,missed detection probabilities,secondary user base station,traditional collaborative spectrum sensing protocol,trust management,collaborative spectrum sensing,energy detection,fusion center,malicious behavior,trust and reputation management system,sun,collaboration,cascading style sheets,fading,sensors | Base station,False alarm,Decision fusion,Efficient energy use,Fading,Cascading Style Sheets,Computer network,Energy consumption,Mathematics,Cognitive radio | Journal |
Volume | Issue | ISSN |
14 | 4 | 1536-1276 |
Citations | PageRank | References |
6 | 0.45 | 31 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Seyed A. Mousavifar | 1 | 74 | 5.27 |
| Cyril Leung | 2 | 899 | 62.23 |