Joint UAV Trajectory and Data Demand for Scheduling in Wireless Sensor Networks
Abstract
Energy reduction for sireless sensor networks (WSNs) is considered in many works. Sensor scheduling for data collection where the sensors in a WSN are set to wake-up and sleeping mode is a promising candidate. Unmanned aerial vehicle (UAV) utilizing the mobility is investigated to support the data collection for WSNs. This paper proposes a novel system and timing model where a UAV flies to hover at sensors and collect the sensed data. Therefore, a design problem for operation
time minimization is established as a combination problem. To overcome the challenge, we propose a heuristic search method to find the trajectory of UAV. The numerical results demonstrate that the proposed method outperforms the random one.
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References
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[2] J. Sen, “A survey on wireless sensor network security,” International Journal of Communication Networks and Information Security, vol. 1, p. 59 – 82, 08 2009.
[3] Y. Zeng, R. Zhang, and T. J. Lim, “Wireless communications with unmanned aerial vehicles: Opportunities and challenges,” IEEE Commun. Mag., vol. 54, no. 5, pp. 36–42, May 2016.
[4] M. Mozaffari, W. Saad, M. Bennis, Y. Nam, and M. Debbah, “A tutorial on UAVs for wireless networks: Applications, challenges, and open problems,” IEEE Commun. Surv. & Tutorials, vol. 21, no. 3, pp. 2334–2360, Third Quarter 2019.
[5] L. Gupta, R. Jain, and G. Vaszkun, “Survey of important issues in UAV communication networks,” IEEE Commun. Surv. & Tutorials, vol. 18, no. 2, pp. 1123–1152, Second Quarter 2016.
[6] Y. Zeng, R. Zhang, and T. J. Lim, “Throughput maximization for UAV-enabled mobile relaying systems,” IEEE Trans. Commun., vol. 64, no. 12, pp. 4983–4996, Dec. 2016.
[7] S. Sotheara, K. Aso, N. Aomi, and S. Shimamoto, “Effective data gathering and energy efficient communication protocol in wireless sensor networks employing UAV,” in Proc. IEEE Wireless Commun. & Network. Conf. (WCNC), Apr. 2014, pp. 2342–2347.
[8] M. Mozaffari, W. Saad, M. Bennis, and M. Debbah, “Wireless communication using unmanned aerial vehicles (UAVs): Optimal transport theory for hover time optimization,” IEEE Trans. Wireless Commun., vol. 16, no. 12, pp. 8052–8066, 2017.
[9] M. Erdelj, E. Natalizio, K. R. Chowdhury, and I. F. Akyildiz, “Help from the sky: Leveraging UAVs for disaster management,” IEEE Pervasive Computing, vol. 16, no. 1, pp. 24–32, 2017.
[10] H.-M. Chung, S. Maharjan, Y. Zhang, F. Eliassen, and T. Yuan, “Edge intelligence empowered UAVs for automated wind farm monitoring in smart grids,” in IEEE Global Communications Conference, 2020, pp. 1–6.
[11] Y. Zeng, J. Xu, and R. Zhang, “Energy minimization for wireless communication with rotary-wing UAV,” IEEE Trans. Wireless Commun., vol. 18, no. 4, pp. 2329–2345, 2019.
[12] C. Zhan, Y. Zeng, and R. Zhang, “Energy-efficient data collection in UAV enabled wireless sensor network,” IEEE Wireless Commun. Lett., vol. 7, no. 3, pp. 328–331, 2018.
[13] D. Yang, Q. Wu, Y. Zeng, and R. Zhang, “Energy tradeoff in ground-to-UAV communication via trajectory design,” IEEE Trans. Veh. Technol., vol. 67, no. 7, pp. 6721–6726, 2018.
[14] Y. Zeng, X. Xu, and R. Zhang, “Trajectory design for completiontime minimization in UAV-enabled multicasting,” IEEE Trans. Wireless Commun., vol. 17, no. 4, pp. 2233–2246, 2018.
Published
2021-12-31
How to Cite
KIET, Tran Anh et al.
Joint UAV Trajectory and Data Demand for Scheduling in Wireless Sensor Networks.
Journal of Science and Technology: Issue on Information and Communications Technology, [S.l.], v. 19, n. 12.2, p. 51-55, dec. 2021.
ISSN 1859-1531.
Available at: <http://ict.jst.udn.vn/index.php/jst/article/view/148>. Date accessed: 24 nov. 2024.
doi: https://doi.org/10.31130/ict-ud.2021.148.
Section
Articles
