Preview

Proceedings of Telecommunication Universities

Advanced search

Flying Fog Mobile Edge Computing Based on UAV-Assisted for IoT Nodes in Smart Agriculture

https://doi.org/10.31854/1813-324X-2022-8-4-82-88

Abstract

Flying Fog Mobile Edge Computing can play a pivotal part in the field of smart agriculture. Moreover, is an ideal choice for the significant features it enjoys such as its capability of functioning in remote locations, its wide coverage of areas, sufficient bandwidth, as well as its ability of dealing with connectivity issues. Hence, it is essential for smart agriculture provided with IoT devices to utilize offloading data in a real time and execution the satisfactory steps for a certain circumstance by using flying fog mobile edge computing. Flying Fog Mobile Edge Computing is a good choice to treat connectivity issues. In this paper, proposed a cooperation paradigm of UAVs and IoT devices towards smart agriculture for offloading and executing the computation tasks on-behalf IoT nodes by using dynamic programming algorithm and get satisfactory solution for constrained optimization problem and achieving minimize delay to accomplish tasks.

About the Author

A. Alzaghir
The Bonch-Bruevich Saint-Petersburg State University of Telecommunications
Russian Federation

Abbas Alzaghir

St. Petersburg, 193232



References

1. Naqvi S.A.R., Hassan S.A., Pervaiz, Ni Q. Drone-Aided Communication as a Key Enabler for 5G and Resilient Public Safety Networks. IEEE Communications Magazine. 2018;56(1):36–42. DOI:10.1109/MCOM.2017.1700451

2. Zhang M., Su C., Liu Y., Hu M., Zhu Y. Unmanned Aerial Vehicle Route Planning in the Presence of a threat Environment Based on a Virtual Globe Platform. ISPRS International Journal of Geo-Information. 2016;5(10):184. DOI:10.3390/ijgi5100184

3. Mahmud I., Cho Y.-Z. Adaptive Hello Interval in FANET Routing Protocols for Green UAVs. IEEE Access. 2019;7: 63004–63015. DOI:10.1109/ACCESS.2019.2917075

4. Cao X., Yang P., Alzenad M., Xi X., Wu D., Yanikomeroglu H. Airborne Communication Networks: A Survey. IEEE Journal on Selected Areas in Communications. 2018;36(9):1907–1926. DOI:10.1109/JSAC.2018.2864423

5. Mozaffari M., Saad W., Bennis M., Debbah M. Mobile Unmanned Aerial Vehicles (UAVs) for Energy-Efficient Internet of Things Communications. IEEE Transactions on Wireless Communications. 2017;16(11):7574‒7589. DOI:10.1109/TWC.2017.2751045

6. Alsamhi S.H., Ma O., Ansari M.S., Almalki F.A. Survey on Collaborative Smart Drones and Internet of Things for Improving Smartness of Smart Cities. IEEE Access. 2019;7:128125‒128152. DOI:10.1109/ACCESS.2019.2934998

7. Alsamhi S.H., Ma O., Ansari M.S., Meng Q. Greening Internet of Things for Smart Everythings with a Green-Environment Life: A Survey and Future Prospects. 2018. DOI:10.48550/arXiv.1805.00844

8. Alsamhi S.H., Ma O., Ansari M.S., Gupta S.K. Collaboration of Drone and Internet of Public Safety Things in Smart Cities: An Overview of QoS and Network Performance Optimization. Drones. 2019;3(1):13. DOI:10.3390/drones3010013

9. Alsamhi S.H., Ma O., Ansari M.S., Almalki F.A. Survey on Collaborative Smart Drones and Internet of Things for Improving Smartness of Smart Cities. IEEE Access. 2019;7:128125‒128152. DOI:10.1109/ACCESS.2019.2934998

10. Menouar H., Guvenc I., Akkaya K., Uluagac A. S., Kadri A., Tuncer A. UAV-Enabled Intelligent Transportation Systems for the Smart City: Applications and Challenges. IEEE Communications Magazine. 2017;55(3):22–28. DOI:10.1109/MCOM.2017.1600238CM

11. Motlagh N.H., Taleb T., Arouk O. Low-Altitude Unmanned Aerial Vehicles-Based Internet of Things Services: Comprehensive Survey and Future Perspectives. IEEE Internet Things Journal. 2016;3(6):899–922. DOI:10.1109/JIOT.2016.2612119

12. Mohammad M., Saad W., Bennis M., Debbah M. Mobile Internet of Things: Can UAVs Provide an Energy-Efficient Mobile Architecture? Proceedings of the Global Communications Conference, GLOBECOM, 04‒08 December 2016, Washington, USA. IEEE; 2016. DOI:10.1109/GLOCOM.2016.7841993

13. Chen X., Shi Q., Yang L., Xu J. ThriftyEdge: Resource-Efficient Edge Computing for Intelligent IoT Applications. IEEE Network. 2018;32(1):61–65. DOI:10.1109/MNET.2018.1700145

14. Li X., Ma Z., Zheng J., Liu Y., Zhu L., Zhou N. An Effective Edge-Assisted Data Collection Approach for Critical Events in the SDWSN-Based Agricultural Internet of Things. Electronics. 2020;9(6):907. DOI:10.3390/electronics9060907

15. Alzaghir A., Koucheryavy A. Multi Task Multi-UAV Computation Offloading Enabled Mobile Edge Computing Systems. Proceedings of the 24th International Conference on Distributed Computer and Communication Networks, DCCN, 20–24 September 2021, Moscow, Russia. Communications in Computer and Information Science, vol.1552. Cham: Springer; 2021. DOI:10.1007/978-3-030-97110-6_1

16. Shahzad H., Szymanski T.H. A dynamic programming offloading algorithm for mobile cloud computing. Proceedings of the Canadian Conference on Electrical and Computer Engineering, CCECE, 15‒18 May 2016, Vancouver, Canada. IEEE; 2016. DOI:10.1109/CCECE.2016.7726790

17. Koucheryavy A.E., Vladyko A.G., Kirichek R.V. Flying Ubiquitous Sensor Networks ‒ A New Application of Internet of Things. Proceedings of the IV International Conference on Infotelecommunications in Science and Education, 03‒04 March 2015, St. Petersburg, Russia. St. Petersburg: The Bonch-Bruevich Saint-Petersburg State University of Telecommunications Publ.; 2015. p.17‒22. (in Russ.)

18. Vyrelkin A., Koucheryavy A. Using of Unmanned Aerial Vehicles for Solving the Problems of the Smart City. Telecom IT. 2017;5(1): 105‒113. (in Russ.)

19. Alzaghir A.A., Koucheryavy A.E. Offloading Traffic When Integrating UAVs and Edge Computing Systems. SPbNTORES: Proceedings of the Annual Scientific and Technical Conference. 2022;1(77):115-116. (in Russ.)

20. Filimonova M.I., Alzagir A.A., Muthanna A.S.A. Development of Methods of UAV Application to Ensure Stability of Communication Networks 2030. SPbNTORES: Proceedings of the Annual Scientific and Technical Conference. 2020;1(75):164‒165. (in Russ.)


Review

For citations:


Alzaghir A. Flying Fog Mobile Edge Computing Based on UAV-Assisted for IoT Nodes in Smart Agriculture. Proceedings of Telecommunication Universities. 2022;8(4):82-88. https://doi.org/10.31854/1813-324X-2022-8-4-82-88

Views: 440


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 1813-324X (Print)
ISSN 2712-8830 (Online)