Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Regional IP Allocation Techniques Using Dronesopen access

Authors
Chun, Yang-HaCho, Moon-Ki
Issue Date
Apr-2024
Publisher
AnaPub Publications
Keywords
Ad Hoc Networks; Drones; IP Auto-Assignment; MANET; Routing Protocols
Citation
Journal of Machine and Computing, v.4, no.2, pp 497 - 503
Pages
7
Journal Title
Journal of Machine and Computing
Volume
4
Number
2
Start Page
497
End Page
503
URI
https://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/49755
DOI
10.53759/7669/jmc202404047
ISSN
2789-1801
2788-7669
Abstract
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. ©2024 The Authors. Published by AnaPub Publications.
Files in This Item
Go to Link
Appears in
Collections
ETC > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Cho, moon ki photo

Cho, moon ki
Colleges (Baird College of General Education)
Read more

Altmetrics

Total Views & Downloads

BROWSE