Modified Backscatter Communication Model for Wireless Communication Network Applications
PDF
PDF

How to Cite

Chen, Joy Iong Zong. 2021. “Modified Backscatter Communication Model for Wireless Communication Network Applications”. IRO Journal on Sustainable Wireless Systems 3 (2): 107-17. https://doi.org/10.36548/jsws.2021.2.005.

Keywords

— Intercept probability
— Outage probability
— Internet of Things
— Wireless communication network
— Backscatter devices
Published: 07-06-2021

Abstract

The green communication and large-scale connection issues will be faced by the wireless communication networks with futuristic sixth generation (6G) technology. The radio-frequency (RF) and spectrum sources may be shared simultaneously to achieve optimal communication in these networks by means of backscatter devices (BD) that may function in constrained spectrums as well as the stringent energy scenarios of green Internet-of-things (IoT) by means of the proposed novel modified backscatter communication model (BCM). Unlicensed eavesdroppers may interfere with the BD due to its vulnerability caused by the wireless communication channels and their broadcasting nature. The intrusion of an unlicensed eavesdropper is detected in an efficient manner by means of the proposed BCM. The analytical derivations of intercept probability (IP) and outage probability (OP) are invoked to analyze the security and reliability of the proposed architecture. Under high main-to-eavesdropper ratio (MER) regime, the IP and under high signal-to-noise ratio (SNR) regime, the OP asymptotic behaviors are estimated additionally. Based on the results of performance evaluation, it is evident that there is a decrease in the security of BD with the increase in MER while there is a simultaneous increase in the legitimate user security. Various system parameters may be adjusted for optimizing the security and reliability performance trade-off. For diverse orders, the existence of error floors are indicated by the non-zero fixed constant of BD and the legitimate user’s OP when high SNR value is observed at the system.

References

  1. Ji, B., Chen, Z., Chen, S., Zhou, B., Li, C., & Wen, H. (2020). Joint optimization for ambient backscatter communication system with energy harvesting for IoT. Mechanical Systems and Signal Processing, 135, 106412.
  2. Smys, S., Haoxiang Wang, and Abul Basar. "5G Network Simulation in Smart Cities using Neural Network Algorithm." Journal of Artificial Intelligence 3, no. 01 (2021): 43-52.
  3. Xu, X., Shen, Y., Yang, J., Xu, C., Shen, G., Chen, G., & Ni, Y. (2017, October). Passivevlc: Enabling practical visible light backscatter communication for battery-free iot applications. In Proceedings of the 23rd Annual International Conference on Mobile Computing and Networking (pp. 180-192).
  4. Suma, V., and Wang Haoxiang. "Optimal Key Handover Management for Enhancing Security in Mobile Network." Journal of trends in Computer Science and Smart technology (TCSST) 2, no. 04 (2020): 181-187.
  5. Yang, G., Xu, X., & Liang, Y. C. (2019). Resource allocation in NOMA-enhanced backscatter communication networks for wireless powered IoT. IEEE Wireless Communications Letters, 9(1), 117-120.
  6. Duraipandian, M. "Long Term Evolution-Self Organizing Network for Minimization of Sudden Call Termination in Mobile Radio Access Networks." Journal of trends in Computer Science and Smart technology (TCSST) 2, no. 02 (2020): 89-97.
  7. Zhao, W., Wang, G., Atapattu, S., Tsiftsis, T. A., & Ma, X. (2020). Performance analysis of large intelligent surface aided backscatter communication systems. IEEE Wireless Communications Letters, 9(7), 962-966.
  8. Shrestha, Sujan, and Subarna Shakya. "Technical Analysis of ZigBee Wireless Communication." Journal of trends in Computer Science and Smart technology (TCSST) 2, no. 04 (2020): 197-203.
  9. Liu, W., Huang, K., Zhou, X., & Durrani, S. (2019). Next generation backscatter communication: systems, techniques, and applications. EURASIP Journal on Wireless Communications and Networking, 2019(1), 1-11.
  10. Senthilkumar, M., Kavitha, V. R., Kumar, M. S., Raj, P. A. C., & Shirley, D. R. A. (2021, March). Routing in a Wireless Sensor Network using a Hybrid Algorithm to Improve the Lifetime of the Nodes. In IOP Conference Series: Materials Science and Engineering (Vol. 1084, No. 1, p. 012051). IOP Publishing.
  11. Janeera D.A., Gnanamalar S.S.R., Ramya K.C., Kumar A.G.A. (2021) Internet of Things and Artificial Intelligence-Enabled Secure Autonomous Vehicles for Smart Cities. In: Kathiresh M., Neelaveni R. (eds) Automotive Embedded Systems. EAI/Springer Innovations in Communication and Computing. Springer, Cham.
  12. Kim, T. Y., & Kim, D. I. (2018). Novel Sparse-coded ambient backscatter communication for massive IoT connectivity. Energies, 11(7), 1780.
  13. Xu, C., Yang, L., & Zhang, P. (2018). Practical backscatter communication systems for battery-free Internet of Things: A tutorial and survey of recent research. IEEE Signal Processing Magazine, 35(5), 16-27.
  14. Zeb, S., Abbas, Q., Hassan, S. A., Mahmood, A., & Gidlund, M. (2021). Enhancing Backscatter Communication in IoT Networks with Power-Domain NOMA. In Wireless-Powered Backscatter Communications for Internet of Things (pp. 81-101). Springer, Cham.
  15. Smys, S., & Wang, H. ENHANCED WIRELESS POWER TRANSFER SYSTEM FOR IMPLANTABLE MEDICAL DEVICES.
  16. Raj, J. S. (2019). QoS optimization of energy efficient routing in IoT wireless sensor networks. Journal of ISMAC, 1(01), 12-23.
  17. Sathesh, A. (2019). Optimized multi-objective routing for wireless communication with load balancing. Journal of trends in Computer Science and Smart technology (TCSST), 1(02), 106-120.
  18. Haoxiang, W., & Smys, S. (2020). Soft Computing Strategies for Optimized Route Selection in Wireless Sensor Network. Journal of Soft Computing Paradigm (JSCP), 2(01), 1-12.
  19. Mugunthan, S. R. (2020). Novel Cluster Rotating and Routing Strategy for software defined Wireless Sensor Networks. Journal of ISMAC, 2(02), 140-146.
  20. Dhaya, R., & Kanthavel, R. (2020). A Wireless Collision Detection on Transmission Poles through IoT Technology. Journal of trends in Computer Science and Smart technology (TCSST), 2(03), 165-172.