研究目的
To propose a primary-radio (PR) user-activity-aware channel bonding (CB) algorithm for cognitive radio sensor networks (CRSNs) that reduces harmful interference to PR nodes and provides greater bandwidth.
研究成果
The proposed PRACB algorithm effectively reduces harmful interference to PR nodes and provides greater bandwidth in CRSNs. It outperforms existing schemes in terms of HIR and maintains comparable DR. Future work includes integrating PRACB with routing protocols for enhanced performance.
研究不足
The study focuses on the simulation environment and may need further validation in real-world scenarios. The performance of PRACB is compared with existing schemes but may have limitations under varying PR activities and network conditions.
1:Experimental Design and Method Selection:
The study involves the design of a PR user-activity-aware CB algorithm (PRACB) for CRSNs, comparing it with three state-of-the-art schemes (SWA, KNOWS, and AGILE).
2:Sample Selection and Data Sources:
The simulation uses NS-2 with modifications to introduce PR activity and multiple channels support for CR nodes.
3:List of Experimental Equipment and Materials:
NS-2 simulator with CRCN patch for simulating CRSN scenarios.
4:Experimental Procedures and Operational Workflow:
The algorithm first makes a list of available channels, then prepares a list of available contiguous channels, performs spectrum sensing to detect PR activity, and selects channels free from PR activity for bonding.
5:Data Analysis Methods:
Performance metrics include Harmful Interference Ratio (HIR) and Delivery Ratio (DR), analyzed through extensive NS-2 simulations.
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