An imperfect spectrum sensing-based multi-hop clustering routing protocol for cognitive radio sensor networks

Area of Science:

• Wireless Communication
• Sensor Networks
• Cognitive Radio

Background:

• Multi-hop clustering routing protocols are crucial for energy-efficient data delivery in cognitive radio sensor networks (CRSNs).
• Existing protocols often assume perfect spectrum sensing, ignoring false alarms and missed detections, which can lead to collisions and transmission failures.
• Imperfect spectrum sensing significantly impacts CRSN performance, necessitating robust routing solutions.

Purpose of the Study:

• To propose an imperfect spectrum sensing-based multi-hop clustering routing protocol (ISSMCRP) for CRSNs.
• To address the performance degradation caused by imperfect spectrum sensing in CRSNs.
• To enhance network lifespan and surveillance capability in CRSNs.

Main Methods:

• Developed ISSMCRP with cluster head (CH) and relay selection criteria based on channel detection levels.
• Introduced an idle detection accuracy-based channel selection criterion for intra- and inter-cluster communication.
• Implemented strict control over control overhead and optimized cluster radii to minimize energy consumption.

Main Results:

• ISSMCRP demonstrates improved network lifespan compared to existing protocols.
• The proposed protocol enhances the network surveillance capability of CRSNs.
• Simulation results validate the effectiveness of ISSMCRP in managing imperfect spectrum sensing.

Conclusions:

• ISSMCRP effectively mitigates the negative impacts of imperfect spectrum sensing in CRSNs.
• The protocol offers significant advantages in extending network operational duration and improving monitoring.
• ISSMCRP provides a more realistic and efficient routing solution for CRSNs operating in dynamic spectrum environments.