Data Routing and Spectrum Utilization Techniques in Cognitive IOT Network

Shailendra Kumar Tiwari; Dr. Praveen Kumar Mannepalli

doi:10.21276/ijircst.2021.9.2.6

Abstract

Wireless devices increase the comfort of human life by reducing labor work and data reading accuracy. Wireless device transfer data though allotted spectrum or free available spectrum. An IOT device has limited resources to establish communication between source and destination. So paper has work on cognitive IOT network which depends on algorithms that can sense spectrum efficiently and route data. Paper has summarized various researcher work done for blank spectrum sensing in cognitive IOT network which may be co-operative or non-co-operative in nature. Further some of network routing issues were explained that were directly or indirectly depends on hardware limitation, algorithm computation, etc. Routing algorithms were also list in the work which was used by scholars to resolve different network issues.

Keywords

Cognitive radio, Data Routing, Resource Utilization, Spectrum Sensing

References

[1] K. Christidis and M. Devetsikiotis, "Blockchains and Smart Contracts for the Internet of Things," in IEEE Access, vol. 4, 2016,

[2] A.Roger, T. Tsao, V. Daza, A. Lozano, M. Richardson, and M. Dohler, "A Security Threat Analysis for the Routing Protocol for Low-Power and Lossy Networks (RPLs)," IETF RFC 7416, January 2015,

[3] J. L. Hernandez-Ramos, J. B. Bernabe and A. Skarmeta, "ARMY: architecture for a secure and privacy-aware lifecycle of smart objects in the internet of my things," in IEEE Communications Magazine, vol. 54, no. 9, 2016, pp. 28-35.

[4] M. Gomes, R. da Rosa Righi, C. A. da Costa, Internet of things scalability: analyzing the bottlenecks and proposing alternatives, in 6th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2014

[5] Khalid M Awan, Nadeem Ashraf, Muhammad Qaiser Saleem, Osama E Sheta, Kashif Naseer Qureshi, Asim Zeb, Khalid Haseeb and Ali, Safaa Sadiq "A priority-based congestion-avoidance routing protocol using IoT-based heterogeneous medical sensors for energy efficiency in healthcare wireless body area networks". International Journal of Distributed Sensor Networks, Vol. 15(6) 2019.

[6] Salahdine, Fatima. (2017). Spectrum Sensing Techniques For Cognitive Radio Networks.

[7] R. Sorayya and M. Suryanegara, "The model of spectrum sharing between a primary and two secondary operators," 2017 International Conference On Smart Technologies For Smart Nation (SmartTechCon), Bangalore, 2017, pp. 518- 522.

[8] D. M. Alias and Ragesh G. K, "Cognitive Radio networks: A survey," 2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), Chennai, 2016, pp. 1981-1986

[9] Aurimas Gedminas, Dalius Navakauskas, Liudas Duoba. "P System Framework for Ant Colony Algorithm in IoT Data Routing". International Journal of Advanced Computer Science and Applications, Vol. 11, No. 4, 2020.

[10] M. Rossi, M. Centenaro, A. Ba, S. Eleuch, T. Erseghe and M. Zorzi, "Distributed Learning Algorithms for Optimal Data Routing in IoT Networks," in IEEE Transactions on Signal and Information Processing over Networks, vol. 6, pp. 179-195, 2020,

[11] Z. Magubane, P. Tarwireyi and M. O. Adigun, "Evaluating the Energy Efficiency of IoT Routing Protocols," 2019 International Multidisciplinary Information Technology and Engineering Conference (IMITEC), Vanderbijlpark, South Africa, 2019

[12] M. Durga Devi, K. Geetha, K. Saranyadevi. "Content Based Routing Using Information Centric Network For IoT". Procedia Computer Science, Volume 115, 2017.

[13] Arun Kumar, B. R., Reshma, C. R. "Spectrum Scheduling using Markov Chain Model in Cognitive Radio Networks", IOSR Journal of Computer Engineering (IOSR-JCE), 17(4), pp. 112–115, 2015.

[14] Liu, Z. M., Nasser, N., Hassanein, H. S. "Intelligent spectrum assignment and migration in cognitive radio network", EURASIP Journal on Wireless Communications and Networking, 2013(200), pp. 1–13, 2013.

[15] Ni, Q., Zhu, R., Wu, Z., Sun, Y., Zhou, L., Zhou, B. "Spectrum Allocation Based on Game Theory in Cognitive Radio Networks", Journal of Networks, 8(3), pp. 712–722, 2013.

[16] Hou, B., Zu, Y., Li, W., Liu, G., Ding, J. "Cognitive Radio Spectrum Allocation Strategy Based on Improved Genetic Algorithm", Communications and Network, 5, pp. 22–26, 2013.

[17] Ren Han, Yang Gao, Chunxue Wu, And Dianjie Lu. “An Effective Multi-Objective Optimization Algorithm For Spectrum Allocations In The Cognitive-Radio-Based Internet Of Things”. Ieee Access March 19, 2018.

[18] A Dhumane, R Prasad, J Prasad. Routing Issues in Internet of Things: A Survey. InProceedings of the International MultiConference of Engineers and Computer Scientists. 2016; Vol. 1, 16-18.

[19] Ravi Kumar Poluru and Shaik Naseera. "A Literature Review on Routing Strategy in the Internet of Things". Journal of Engineering Science and Technology Review 10 (5), 2017.

[20] A. Dhumane, “Routing challenges in internet of things,” CSI Magazine, vol. 03, 2015.

[21] M. Talwar, “Routing techniques and protocols for internet of things: a survey,” in Proceeding of the NCRIET-2015, pp. 417–423, 2015.

[22] T. B. A. H. Prasad, “Network routing protocols in iot,” International Journal of Advances in Electronics and Computer Science, vol. 4, no. 4, 2017.

[23] H. Prasad and S. Babu, “A survey on network routing protocols in internet of things (IOT),” International Journal of Computer Applications, vol. 160, no. 2, pp. 18–22, 2017.

[24] H.-S. Kim, J. Ko, D. E. Culler, and J. Paek, “Challenging the IPv6 routing protocol for low-power and lossy networks (RPL): a survey,” IEEE Communications Surveys & Tutorials, vol. 19, no. 4, pp. 2502–2525, 2017.

[25] M. Zhao, A. Kumar, P. H. Joo Chong, and R. Lu, “A comprehensive study of RPL and P2P-RPL routing protocols: Implementation, challenges and opportunities,” Peer-to-Peer Networking and Applications, vol. 10, no. 5, pp. 1232–1256, 2017.

[26] H. Kharrufa, H. Al-Kashoash, Y. Al-Nidawi, M. Q. Mosquera, and A. H. Kemp, “Dynamic RPL for multi-hop routing in IoT applications,” in Proceedings of the 13th Annual Conference on Wireless On-Demand Network Systems and Services (WONS '17), pp. 100–103, February 2017.

[27] A. Aijaz and A. H. Aghvami, “Cognitive machine-to-machine communications for internet-of-things: a protocol stack perspective,” IEEE Internet of Things Journal, vol. 2, no. 2, pp. 103–112, 2015.

[28] S. Basagni, C. Petrioli, R. Petroccia, and D. Spaccini, “CARP: a channel-aware routing protocol for underwater acoustic wireless networks,” Ad Hoc Networks, vol. 34, no. supplement C, pp. 92–104, 2015, Advances in Underwater Communications and Networks.

[29] Z. Zhou, B. Yao, R. Xing, L. Shu, and S. Bu, “E-CARP: an energy efficient routing protocol for UWSNs in the internet of underwater things,” IEEE Sensors Journal, vol. 16, no. 11, pp. 4072–4082, 2015.

[30] L. R. Stojkoska and K. V. Trivodaliev, “A review of Internet of Things for smart home: Challenges and solutions,” Journal of Cleaner Production, vol. 140, pp. 1454–1464, 2017.

[31] H. Sekiguchi, H. Ishikawa, M. Koyama and H. Sawada, "Techniques for increasing frequency spectrum utilization in mobile radio communication system," 35th IEEE Vehicular Technology Conference, Boulder, CO, USA, 1985, pp. 26-31

Cites this article as

S. K. Tiwari, D. P. K. Mannepalli, "Data Routing and Spectrum Utilization Techniques in Cognitive IOT Network", International Journal of Innovative Research in Engineering & Management (ijircst), Vol-9, Issue-2, Page No-35-39, 2021. Available from: https://doi.org/10.21276/ijircst.2021.9.2.6

Corresponding Author

Shailendra Kumar Tiwari

Research Scholar, Department Of Computer Application, LNCT University, Bhopal, Madhya Pradesh, India. (shailendra.t86@gmail.com)

Download Full Paper

Download PDF

No. of Downloads: 54 | No. of Views: 1754

Data Routing and Spectrum Utilization Techniques in Cognitive IOT Network

Citations

Download Full Paper PDF

Total View 1754

Total Download 54