Drones, which were initially developed for military applications, have recently been studied and applied to various fields. In this paper, we propose a DANET algorithm that uses a large number of drones to build a wireless communication network infrastructure, and in situations where communication is not possible, such as in disaster areas, we propose a DANET algorithm that uses drones to form a network so that nodes that want to join the network can efficiently acquire IP addresses without collision. In a DANET, a pool of IP addresses is gradually passed to the drones in the next zone in blocks, and the drones in each zone distribute IPs to newly joining nodes, thereby increasing the IP address allocation rate and reducing the IP allocation time to form a temporary but efficient network. Drones assign their own IP addresses through simple Request and Response message exchanges with land-based stations or M-Droin (Mother Droin) in the divided zones that can assign IP addresses. Therefore, DANET can completely eliminate the process of IP collision avoidance (Duplicate Address Detection) and the process of network separation or integration caused by the movement of ships. This paper presents a new possibility for building wireless network infrastructure in unconnected areas such as disaster areas by performing simulations under various conditions to verify the applicability of DANET.
Keywords
Drones, MANET, Ad Hoc Networks, IP Auto-Assignment, Routing Protocols.
“ETE Model and High Precision Positioning for Autonomous Flight in 5G,” Journal of System and Management Sciences, Apr. 2022, doi: 10.33168/jsms.2022.0215.
“High-Precision Position Protocol for Vehicle to Pedestrian using 5G Networks,” Journal of System and Management Sciences, Feb. 2022, doi: 10.33168/jsms.2022.0117.
P. Oliveira, R. M. C. Andrade, I. Barreto, T. P. Nogueira, and L. Morais Bueno, “Issue Auto-Assignment in Software Projects with Machine Learning Techniques,” 2021 IEEE/ACM 8th International Workshop on Software Engineering Research and Industrial Practice (SER&IP), Jun. 2021, doi: 10.1109/ser-ip52554.2021.00018.
J. Aweya, “Introduction to IP Routing Protocols,” IP Routing Protocols, pp. 1–24, Apr. 2021, doi: 10.1201/9781003149040-1.
Günes, Mesut & Reibel, Jörg. (2002). An IP Address Configuration Algorithm for Zeroconf. Mobile Multi-hop Ad-Hoc Networks. Proc. Internat. Workshop on Broadband Wireless Ad Hoc Networks and Services. https://www.researchgate.net/publication/262492182.
“Introducing article numbering to Ad Hoc Networks,” Ad Hoc Networks, vol. 90, p. 101891, Jul. 2019, doi: 10.1016/j.adhoc.2019.101891.
Günes, Mesut & Reibel, Jörg. “ An IP Address Configuration Algorithm for Zeroconf. Mobile Multi-hop Ad-Hoc Networks”.,Proc. Internat. Workshop on Broadband Wireless Ad Hoc Networks and Services, (2002).
S. Nesargi and R. Prakash, “MANETconf: configuration of hosts in a mobile ad hoc network,” Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies, doi: 10.1109/infcom.2002.1019354.
S. Nesargi and R. Prakash, “MANETconf: configuration of hosts in a mobile ad hoc network,” Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies, doi: 10.1109/infcom.2002.1019354.
H. Zhou, L. M. Ni, and M. W. Mutka, “Prophet address allocation for large scale MANETs,” Ad Hoc Networks, vol. 1, no. 4, pp. 423–434, Nov. 2003, doi: 10.1016/s1570-8705(03)00042-8.
D. W. Casbeer, Sai-Ming Li, R. W. Beard, R. K. Mehra, and T. W. McLain, “Forest fire monitoring with multiple small UAVs,” Proceedings of the 2005, American Control Conference, 2005., doi: 10.1109/acc.2005.1470520.
F. Heintz, P. Rudol, and P. Doherty, “From images to traffic behavior - A UAV tracking and monitoring application,” 2007 10th International Conference on Information Fusion, Jul. 2007, doi: 10.1109/icif.2007.4408103.
I. Maza, K. Kondak, M. Bernard, and A. Ollero, “Multi-UAV Cooperation and Control for Load Transportation and Deployment,” Journal of Intelligent and Robotic Systems, vol. 57, no. 1–4, pp. 417–449, Aug. 2009, doi: 10.1007/s10846-009-9352-8.
J. Gancet, G. Hattenberger, R. Alami, and S. Lacroix, “Task planning and control for a multi-UAV system: architecture and algorithms,” 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005, doi: 10.1109/iros.2005.1545217.
Facebook, “Connecting the World from the Sky,” Facebook, Technical Report, 2014. https://about.fb.com/news/2014/03/connecting-the-world-from-the-sky/.
Acknowledgements
We would like to thank Reviewers for taking the time and effort necessary to review the manuscript. We sincerely appreciate all valuable comments and suggestions, which helped us to improve the quality of the manuscript.
Funding
No funding was received to assist with the preparation of this manuscript.
Ethics declarations
Conflict of interest
The authors have no conflicts of interest to declare that are relevant to the content of this article.
Availability of data and materials
Data sharing is not applicable to this article as no new data were created or analysed in this study.
Author information
Contributions
All authors have equal contribution in the paper and all authors have read and agreed to the published version of the manuscript.
Corresponding author
Moon-Ki Cho
Moon-Ki Cho
Computer Science, Soongsil University, Sangdo-ro, Dongjak-gu, Seoul, Korea.
Open Access This article is licensed under a Creative Commons Attribution NoDerivs is a more restrictive license. It allows you to redistribute the material commercially or non-commercially but the user cannot make any changes whatsoever to the original, i.e. no derivatives of the original work. To view a copy of this license, visit https://creativecommons.org/licenses/by-nc-nd/4.0/
Cite this article
Yang-Ha Chun and Moon-Ki Cho, “Regional IP Allocation Techniques Using Drones", pp. 497-503, April 2024. doi: 10.53759/7669/jmc202404047.
