JCPICS: joint cooperative path and intervention cognizant scheduling in multi-hop CRN

Authors

  • Gudihatti K N S University Visvesvaraya College of Engineering, Bangalore University, Bengaluru, India
  • Manjula SH University Visvesvaraya College of Engineering, Bangalore University, Bengaluru, India
  • K R Venugopal Bangalore University, Bengaluru, India

Keywords:

AODV, Cognitive Radio Network, Cooperative Communication, Interference, Primary User Aware k-hop route discovery(PAK)

Abstract

Cognitive Radio based network technology provides better spectrum utilization and resource allocation. Generally, the dynamic network topology, interference, path switching and under-utilization of resource can degrade the network performance. The routing protocols are classified as local and global which are mainly focused on overhead reduction and optimal route selection respectively. However, the conventional approaches suffer from various issues such as interflow-interference, path switching delay and node overhearing problems. In this paper, we present a Joint Cooperative Path and Interference Cognizant Scheduling (JCPICS), which focus on the inter-flow interference, channel switching delay, and a cooperative communication based approaches. Furthermore, Switching Delay and Interference (SDI) routing metric is developed to reduce the switching delay and cooperative scheme of packet transmission is developed where direct or cooperative communication is selected for successful packet transmission. The performance of proposed approach is compared with the existing techniques such as Primary User Aware k-hop route discovery scheme (PAK), AODV, Cognitive-AODV, and Location-Aided Routing for CRN (LAUNCH) in terms of delay and throughput.

References

A. Cammarano, F. L. Presti, G. Maselli, L. Pescosolido, and C. Petrioli, “Throughput-Optimal Cross-Layer Design for Cognitive Radio Ad Hoc Networks,” IEEE Transactions on Parallel and Distributed Systems, vol. 26, no. 9, pp. 2599–2609, 2015.

X. Tang, J. Zhou, S. Xiong, J. Wang, and K. Zhou, “Geographic Segmented Opportunistic Routing in Cognitive Radio Ad Hoc Networks using Network Coding,” IEEE Access, vol. 6, pp. 62 766–62 783, 2018.

J. S. P. Singh and M. K. Rai, “CROP: Cognitive Radio Routing Protocol for Link Quality Channel Diverse Cognitive Networks,” Journal of Network and Computer Applications, vol. 104, pp. 48–60, 2018.

Y. Saleem, K.-L. A. Yau, H. Mohamad, N. Ramli, and M. H. Rehmani, “SMART: A SpectruM-Aware ClusteR-based Routing Scheme for Distributed Cognitive Radio Networks,” Computer Networks, vol. 91, pp. 196–224, 2015.

Y. Zhang, “Dynamic Spectrum Access In Cognitive Radio Wireless Networks,” in 2008 IEEE International Conference on Communications. IEEE, 2008, pp. 4927–4932. [6] Y. Lin, C. Wang, J. Wang, and Z. Dou, “A Novel Dynamic Spectrum Access Framework based On Reinforcement Learning for Cognitive Radio Sensor Networks,” Sensors, vol. 16, no. 10, p. 1675, 2016.

J. Ren, Y. Zhang, N. Zhang, D. Zhang, and X. Shen, “Dynamic Channel Access to Improve Energy Efficiency in Cognitive Radio Sensor Networks,”IEEE Transactions on Wireless Communications, vol. 15, no. 5, pp. 3143–3156, 2016.

A. J. Goldsmith, S. A. Jafar, I. Maric, and S. Srinivasa, “Breaking Spectrum Gridlock with Cognitive Radios: An Information Theoretic

Perspective.” Proceedings of the IEEE, vol. 97, no. 5, pp. 894–914, 2009.

K. Singh and S. Moh, “An Energy-Efficient and Robust Multipath Routing Protocol for Cognitive Radio Ad Hoc Networks,” Sensors, vol. 17, no. 9, p. 2027, 2017.

A. Banerjee, A. Paul, and S. P. Maity, “Joint Power Allocation and Route Selection for Outage Minimization in Multihop Cognitive Radio Networks with Energy Harvesting,” IEEE Transactions on Cognitive Communications and Networking, vol. 4, no. 1, pp. 82–92, 2018.

T. Suzuki and T. Fujii, “Joint Routing and Spectrum Allocation for Multi-Hop Inter-Vehicle Communication in Cognitive Radio Networks,”International Journal of Intelligent Transportation Systems Research, vol. 15, no. 1, pp. 39–49, 2017.

A. S. Cacciapuoti, C. Calcagno, M. Caleffi, and L. Paura, “CAODV: Routing in Mobile Ad-Hoc Cognitive Radio Networks,” in 2010 IFIP Wireless Days. IEEE, 2010, pp. 1–5.

M. A. Rahman, M. Caleffi, and L. Paura, “Joint Path and Spectrum Diversity in Cognitive Radio Ad-Hoc Networks,” EURASIP Journal on Wireless Communications and Networking, vol. 2012, no. 1, p. 235, 2012.

S. Ping, A. Aijaz, O. Holland, and A.-H. Aghvami, “SACRP: A Spectrum Aggregation-based Cooperative Routing Protocol for Cognitive Radio Ad-Hoc Networks,” IEEE transactions on communications, vol. 63, no. 6, 2015.

A. Guirguis, F. Digham, K. G. Seddik, M. Ibrahim, K. A. Harras, and M. Youssef, “Primary User-Aware Optimal Discovery Routing for Cognitive Radio Networks,” IEEE Transactions on Mobile Computing, vol. 18, no. 1, pp. 193–206, 2019.

S. G. K. N., S. H. Manjula, and V. K. R., “A Comprehensive Review on Spectrum Management, Security and Energy-Efficient Cognitive Radio Networks,” International Journal of Computer Applications, vol. 182, no. 37, pp. 25–44, 2019.

Y. Du, C. Chen, P. Ma, and L. Xue, “A Cross-Layer Routing Protocol Based on Quasi-Cooperative MultiAgent Learning for Multi-Hop Cognitive Radio Networks,” Sensors, vol. 19, no. 1, p. 151, 2019.

G. Cheng, W. Liu, Y. Li, and W. Cheng, “Spectrum Aware On-Demand Routing In Cognitive Radio Networks,” in 2007 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks. IEEE, 2007, pp. 571–574.

Z. Yang, G. Cheng, W. Liu, W. Yuan, and W. Cheng, “Local Coordination based Routing and Spectrum Assignment in Multi-Hop Cognitive Radio Networks,” Mobile Networks and Applications, vol. 13, no. 1-2, pp. 67–81, 2008.

J.P. Sheu and I.L. Lao, “Cooperative Routing Protocol in Cognitive Radio Ad-Hoc Networks,” in 2012 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2012, pp. 2916–2921.

K. Habak, M. Abdelatif, H. Hagrass, K. Rizc, and M. Youssef, “A Location-Aided Routing Protocol for Cognitive Radio Networks,” in 2013 International Conference on Computing, Networking and Communications (ICNC). IEEE, 2013, pp. 729–733.

Dhingra, A., Chandna, P 2010 Multi-objective flow shop scheduling using hybrid simulated annealing Measuring Business Excellence 14(3), pp. 30-41.

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Published

2024-02-26

How to Cite

Gudihatti K N, S., Manjula, S. H., & K R, V. (2024). JCPICS: joint cooperative path and intervention cognizant scheduling in multi-hop CRN. COMPUSOFT: An International Journal of Advanced Computer Technology, 8(07), 3274–3280. Retrieved from https://ijact.in/index.php/j/article/view/515

Issue

Vol. 8 No. 07 (2019): July

Section

Original Research Article

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