A Dual-Channel MAC Protocol with Fibonacci Backoff for Enhanced Efficiency in UAV-Based Sensor Networks

Authors

  • Owais Khan Department of Computer Software and Technology, University of Swat, Khyber Pakhtunkhwa, Pakistan
  • Muhammad Ismail Department of Computer Software and Technology, University of Swat, Khyber Pakhtunkhwa, Pakistan
  • Imad Ali Department of Computer Software and Technology, University of Swat, Khyber Pakhtunkhwa, Pakistan

DOI:

https://doi.org/10.53560/PPASA(61-2)847

Keywords:

Wireless Sensor Networks, Unmanned Air Vehicles, Dual-Channel MAC Protocol, Fibonacci Backoff Strategy

Abstract

Unmanned aerial vehicles (UAVs) are highly effective in collecting data from challenging environments equipped with Wireless Sensor Networks (WSNs), overcoming retrieval challenges. However, using a single-channel Medium Access Control (MAC) protocol for synchronization can lead to potential data collisions among multiple sensors sharing the same medium and result in high power consumption. In this article, we propose a dual-channel MAC protocol specifically designed for UAV-based data collection from WSNs. The protocol includes features such as varying transmission power levels for UAVs, dedicated channels for control and data packets, and a Fibonacci Backoff strategy. The UAV optimizes power usage by initially using low-power transmission and gradually increasing it. The dual-channel communication allows for separate channels for wakeup signals and data transmission, enhancing efficiency. Additionally, the sleep and wakeup mechanism conserves sensor node battery power during inactivity. We developed a discrete event simulator to evaluate the proposed protocol's performance. Our simulation results show that the average for each node count, the proposed protocol with the Fibonacci Backoff strategy improves network throughput by 20.68%, reduces delay by 22.32%, and decreases power consumption by 21.84% compared to the conventional Exponential Backoff method.

References

S. Aiswariya, V.J. Rani, and S. Suseela. Challenges, technologies and components of wireless sensor networks. International Journal of Engineering Research and Technology 6: 1-5 (2018).

D. Puccinelli and M. Haenggi. Wireless sensor networks: applications and challenges of ubiquitous sensing. IEEE Circuits and Systems Magazine 5: 19-31 (2005).

D. Hemanand, C. Senthilkumar, O.S. Saleh, B. Muthuraj, A. Anand, and V. Velmurugan. Analysis of power optimization and enhanced routing protocols for wireless sensor networks. Measurement: Sensors 25: 100610 (2023).

R.F. Miranda, C.H. Barriquello, V.A. Reguera, G.W. Denardin, D.H. Thomas, F. Loose, and L.S. Amaral. A Review of Cognitive Hybrid Radio Frequency/Visible Light Communication Systems for Wireless Sensor Networks. Sensors 23(!8): 7815 (2023).

D. Mohammed, M. Omar, and V. Nguyen. Wireless sensor network security: Approaches to detecting and avoiding wormhole attacks. Journal of Research in Business, Economics and Management 10: 1860-1864 (2018).

S.A.H. Mohsan, N.Q.H. Othman, Y. Li, M.H. Alsharif, and M.A. Khan. Unmanned aerial vehicles (UAVs): Practical aspects, applications, open challenges, security issues, and future trends. Intelligent Service Robotics 16: 109-137 (2023).

Y. Liu, H.N. Dai, Q. Wang, M.K. Shukla, and M. Imran. Unmanned aerial vehicle for Internet of everything: Opportunities and challenges. Computer Communications 155: 66-83 (2020).

N. Khan, A. Ahmad, S. Ali, T. Jan, and I. Ullah. IRS and UAV-relay assisted public safety networks for video transmission: optimizing UAVs deployment and resource allocation. Telecommunication Systems 86(3): 433-449 (2024).

R.A. Nazib and S. Moh. Energy-efficient and fast data collection in UAV-aided wireless sensor networks for hilly terrains. IEEE Access 9: 23168-23190 (2021).

B. Olivieri and M. Endler. DADCA: An efficient distributed algorithm for aerial data collection from wireless sensor networks by UAVs. Proceedings of the 20th ACM International Conference on Modelling, Analysis and Simulation of Wireless and Mobile Systems pp. 129-136 (2017).

Y. Qin, D. Boyle, and E. Yeatman. Efficient and reliable aerial communication with wireless sensors. IEEE Internet of Things Journal 6: 9000-9011 (2019).

Q. Pan, X. Wen, Z. Lu, L. Li, and W. Jing. Dynamic speed control of unmanned aerial vehicles for data collection under the Internet of Things. Sensors 18: 3951 (2018).

S. Goudarzi, N. Kama, M.H. Anisi, S. Zeadally, and S. Mumtaz. Data collection using unmanned aerial vehicles for Internet of Things platforms. Computers & Electrical Engineering 75: 1-15 (2019).

B.J. Kwak, N.O. Song, and L.E. Miller. Performance analysis of exponential backoff. IEEE/ACM Transactions on Networking 13: 343-355 (2005).

A.J. Gopinath and B. Nithya. Mathematical and simulation analysis of contention resolution mechanism for IEEE 802.11 ah networks. Computer Communications 124: 87-100 (2018).

F.A. Tobagi and V.B. Hunt. Performance analysis of carrier sense multiple access with collision detection. Computer Networks 4: 245-259 (1980).

J. Peng and L. Cheng. Revisiting carrier sense multiple access with collision avoidance (CSMA/CA). IEEE Annual Conference on Information Sciences and Systems, pp. 1236-1241 (2006).

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Published

2024-06-28

How to Cite

Owais Khan, Muhammad Ismail, & Imad Ali. (2024). A Dual-Channel MAC Protocol with Fibonacci Backoff for Enhanced Efficiency in UAV-Based Sensor Networks. Proceedings of the Pakistan Academy of Sciences: A. Physical and Computational Sciences, 61(2), 217–225. https://doi.org/10.53560/PPASA(61-2)847

Issue

Section

Research Articles