Data Acquisition Time Minimization in FANET-based IoT Networks
Keywords:FANET, UAV, IoT, Data Acquisition, Deadline
Unmanned aerial vehicles (UAVs) is widely used in many military, and civilian applications. UAVs communicate in a Flying Ad hoc Network (FANET) environment where UAVs communicate with each other through an ad hoc network without infrastructure. FANET provide a flexible platform for internet of things (IoT) applications by playing different roles in IoT such as mobile data collector. In fact, in deadline-based IoT applications, the deadline is restricted to the critical application level, and as a result, this deadline for data acquisition is not adequate, and FANET cannot collect data from the sensed area with predetermined deadline. In this paper, a novel efficient data gathering approach for IoT using FANET is proposed. The main objective of this approach is to solve the problem of insufficient deadlines given by FANET in IoT-based deadline applications. We will first provide a multi-objective optimization model as a MILP optimization model to solve this problem, and then normalize and add two weighing coefficients to solve the MILP model. The results obtained in the simulation show that the proposed approach is able to provide efficient data acquisition while guaranteeing the deadline time.
Motlagh, N. H., Taleb, T., & Arouk, O. (2016). Low-altitude unmanned aerial vehicles-based internet of things services: Comprehensive survey and future perspectives. IEEE Internet of Things Journal, 3(6), 899-922.
Otto, A., Agatz, N., Campbell, J., Golden, B., & Pesch, E. (2018). Optimization approaches for civil applications of unmanned aerial vehicles (UAVs) or aerial drones: A survey. Networks, 72(4), 411-458.
Shakhatreh, H., Sawalmeh, A. H., Al-Fuqaha, A., Dou, Z., Almaita, E., Khalil, I., ... & Guizani, M. (2019). Unmanned aerial vehicles (UAVs): A survey on civil applications and key research challenges. Ieee Access, 7, 48572-48634.
Al-Turjman, F., & Zahmatkesh, H. (2020). A Comprehensive Review on the Use of AI in UAV Communications: Enabling Technologies, Applications, and Challenges. In Unmanned Aerial Vehicles in Smart Cities (pp. 1-26). Springer, Cham.
Bekmezci, I., Sahingoz, O. K., & Temel, Ş. (2013). Flying ad-hoc networks (FANETs): A survey. Ad Hoc Networks, 11(3), 1254-1270.
Sharma, V., & Kumar, R. (2017). Cooperative frameworks and network models for flying ad hoc networks: a survey. Concurrency and computation: Practice and experience, 29(4), e3931.
Liu, Y., Dai, H. N., Wang, Q., Shukla, M. K., & Imran, M. (2020). Unmanned aerial vehicle for internet of everything: Opportunities and challenges. Computer Communications.
Albu-Salih, A. T., & Seno, S. A. H. (2018). Energy-efficient data gathering framework-based clustering via multiple uavs in deadline-based WSN applications. IEEE Access, 6, 72275-72286.
Mozaffari, M., Saad, W., Bennis, M., & Debbah, M. (2017). Mobile unmanned aerial vehicles (UAVs) for energy-efficient Internet of Things communications. IEEE Transactions on Wireless Communications, 16(11), 7574-7589.
Dasgupta, R., & Yoon, S. (2017). Energy-efficient deadline-aware data-gathering scheme using multiple mobile data collectors. Sensors, 17(4), 742.
Boursianis, A. D., Papadopoulou, M. S., Diamantoulakis, P., Liopa-Tsakalidi, A., Barouchas, P., Salahas, G., ... & Goudos, S. K. (2020). Internet of Things (IoT) and Agricultural Unmanned Aerial Vehicles (UAVs) in Smart Farming: A Comprehensive Review. Internet of Things, 100187.
Khan, A. W., Abdullah, A. H., Anisi, M. H., & Bangash, J. I. (2014). A comprehensive study of data collection schemes using mobile sinks in wireless sensor networks. Sensors, 14(2), 2510-2548.
Tuyishimire, E., Bagula, A., Rekhis, S., & Boudriga, N. (2017, July). Cooperative data muling from ground sensors to base stations using UAVs. In 2017 IEEE Symposium on Computers and Communications (ISCC) (pp. 35-41). IEEE.
Caillouet, C., Giroire, F., & Razafindralambo, T. (2019). Efficient data collection and tracking with flying drones. Ad Hoc Networks, 89, 35-46.
Alfattani, S., Jaafar, W., Yanikomeroglu, H., & Yongacoglu, A. (2019, December). Multi-UAV Data Collection Framework for Wireless Sensor Networks. In 2019 IEEE Global Communications Conference (GLOBECOM) (pp. 1-6). IEEE.
Okcu, H., & Soyturk, M. (2014). Distributed clustering approach for UAV integrated wireless sensor networks. International Journal of Ad Hoc and Ubiquitous Computing, 15(1-3), 106-120.
Gong, J., Chang, T. H., Shen, C., & Chen, X. (2018). Flight time minimization of UAV for data collection over wireless sensor networks. IEEE Journal on Selected Areas in Communications, 36(9), 1942-1954.
Zhan, C., & Zeng, Y. (2019). Completion time minimization for multi-UAV-enabled data collection. IEEE Transactions on Wireless Communications, 18(10), 4859-4872.
Ali, Z. A., Masroor, S., & Aamir, M. (2019). UAV based data gathering in wireless sensor networks. Wireless Personal Communications, 106(4), 1801-1811.
Goudarzi, S., Kama, N., Anisi, M. H., Zeadally, S., & Mumtaz, S. (2019). Data collection using unmanned aerial vehicles for Internet of Things platforms. Computers & Electrical Engineering, 75, 1-15.
Liu, B., & Zhu, H. (2019). Energy-effective data gathering for UAV-aided Wireless Sensor Networks. Sensors, 19(11), 2506.
Ho, D. T., Grøtli, E. I., Sujit, P. B., Johansen, T. A., & Sousa, J. B. (2015). Optimization of wireless sensor network and UAV data acquisition. Journal of Intelligent & Robotic Systems, 78(1), 159-179.
Qin, Z., Li, A., Dong, C., Dai, H., & Xu, Z. (2019). Completion Time Minimization for Multi-UAV Information Collection via Trajectory Planning. Sensors, 19(18), 4032.