Testbed Validation of Security-Aware Channel Assignment in Cognitive Radio IoT Networks
| Autor: | Haythem Bany Salameh, Hany Elgala, Sufyan Almajali, Moussa Ayyash, Monette H. Khadr |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Emulation
Computer science business.industry Reliability (computer networking) Testbed 020206 networking & telecommunications Jamming Throughput 02 engineering and technology Radio propagation Cognitive radio Packet loss 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing business Communication channel Computer network |
| Zdroj: | WF-IoT |
| Popis: | Cognitive radio networks (CRNs) are a propitious realization for Internet-of-Things (IoT) applications due to their superior utilization of spectrum and time-critical data delivery. With the expected widespread of IoT devices, security concerns are escalating; forcing additional challenges on network designers. Jamming attacks are one of the most common kind of attacks. Various solutions in literature were proposed to address these attacks, however, the analysis in most of the proposed methods relied on simulation and emulation tools which fail to accurately capture realistic environmental conditions, specifically radio propagation. In this paper, a thorough experimental performance evaluation of our spectrum assignment scheme for CR-IoT applications under jamming attacks is orchestrated over the large scale and open Future Internet-of-Things (FIT) IoT-LAB testbed. The proposed algorithm exploits statistical information of both the licensed primary user and the jammer to provide CR-IoT devices with the most secure idle channel which has the least invalidity ratio. Experimental results show that the proposed algorithm can significantly improve the reliability and overall performance of the network in terms of throughput and packet loss. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|