Ajou University repository

Traffic Generation Scheduling for Performance Improvement in WLAN Based Drone Networks
Citations

SCOPUS

0

Citation Export

Publication Year
2022-01-01
Journal
International Conference on ICT Convergence
Publisher
IEEE Computer Society
Citation
International Conference on ICT Convergence, Vol.2022-October, pp.1866-1868
Keyword
collision probabilitydelayDrone networksschedulingWLAN
Mesh Keyword
Collision probabilityDelayDrone networkForest monitoringGeneration schedulingInfrastructure monitoringPerformancePublic forestsTraffic generationWLAN
All Science Classification Codes (ASJC)
Information SystemsComputer Networks and Communications
Abstract
Drone networks apply to the military, public, forest monitoring, and infrastructure monitoring and utilize video and image messages with high capacity. Thus, drone networks utilize WLAN to transmit them. However, WLAN is a contention-based protocol that requires competition to access channels, which can degrade network performance. In this paper, we propose a traffic generation scheduling that enables the effectiveness of a non-contention method in a WLAN-based drone network. Our proposed method is that AP performs scheduling with a new frame structure containing dynamic slots and transmits scheduling information (message generation time for the application layer and channel band). The method performs better than the existing method regarding latency and packet collision.
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/36815
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85143257113&origin=inward
DOI
https://doi.org/10.1109/ictc55196.2022.9952671
Journal URL
http://ieeexplore.ieee.org/xpl/conferences.jsp
Type
Conference
Funding
ACKNOWLEDGMENT This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) (No. 2021R1A4A1030775), and the MSIT(Ministry of Science and ICT), Korea, under the ITRC(Information Technology Research Center) support program(IITP-2022-2018-0-01424) supervised by the IITP(Institute for Information & communications Technology Promotion).This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) (No. 2021R1A4A1030775), and the MSIT(Ministry of Science and ICT), Korea, under the ITRC(Information Technology Research Center) support program(IITP-2022-2018-0-01424) supervised by the IITP(Institute for Information & communications Technology Promotion).
Show full item record

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

Related Researcher

Kim, Jae-Hyun Image
Kim, Jae-Hyun김재현
Department of Electrical and Computer Engineering
Read More

Total Views & Downloads

File Download

  • There are no files associated with this item.