Name
Abstract | ||
|---|---|---|
In Internet of things (IoT), without a proper collision detection method, a massive number of devices with different communication interfaces will be the source of interference to the primary user. There exist numerous spectrum sensing techniques and each type of spectrum sensing technique has its pros and cons. In recent researches about spectrum sensing approaches, the combination of conventional digital signal processing and collaboration in signal detection has been exploited in order to obtain more accurate results. This paper provides performance comparison of different spectrum sensing techniques. Particularly, energy and cyclostationary based detection techniques are reviewed. Furthermore, the two-layer detection procedure, which includes energy-based cyclostationary, is examined and applied to collaborative scenario. In addition, the collaborative sensing utilises signals coming from different receivers with different propagation paths to cope with the high level of noise environment by combining them at the fusion centre where the decision is finally made. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1504/IJSNET.2017.086792 | INTERNATIONAL JOURNAL OF SENSOR NETWORKS |
Keywords | Field | DocType |
collaborative spectrum sensing, cyclostationary, IoT, internet of things, cognitive radio, energy detection | Digital signal processing,Collision detection,Detection theory,Computer science,Fusion centre,Internet of Things,Electronic engineering,Interference (wave propagation),Cyclostationary process,Cognitive radio,Distributed computing | Journal |
Volume | Issue | ISSN |
25 | 1 | 1748-1279 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Quoc Kien Nguyen | 1 | 0 | 0.68 |
| Taehyun Jeon | 2 | 58 | 9.85 |