Disaster Area Network Expansion Using Drones Based Ad-hoc Cellular Communications

Syed Aamer Hussain, N. Ahmad, L. Latiff, Salma Badawi Mohammed Ahmed, Norliza Mohamed
{"title":"Disaster Area Network Expansion Using Drones Based Ad-hoc Cellular Communications","authors":"Syed Aamer Hussain, N. Ahmad, L. Latiff, Salma Badawi Mohammed Ahmed, Norliza Mohamed","doi":"10.1109/SOFTT54252.2021.9673514","DOIUrl":null,"url":null,"abstract":"The aftermath of a disaster is a state of an emer-gency with damaged cellular towers and broken communication links. The situation requires a rapidly deployable communications network to conduct rescue operations. This paper presents a network architecture for handling disaster area communication, dealing with the execution of routing protocols fulfilling the network requirements. The study uses the NetSim network tool combined with the MATLAB API for designing the model. Mobile ad-hoc network (MANET) is simulated using drones as the mobile nodes providing connectivity with the victim cell phones. The data from the network is communicated to the fixed-mobile infrastructure through a base station mounted on a mobile remote vehicle (MRV). The effectiveness of the network is bench-marked based on battery usage, latency, and reliability of communication. The study's outcome is to reduce the communication delay, minimise the drone platform's energy consumption, and improve routing efficiency. The comparison shows DSR to have 0.1% and 0.2% better battery consumption than the AODV and OLSR, respectively. At the same time, OLSR is found to have the best response with the highest throughput of 0.59Mbps and low network latency of 0.277 microseconds.","PeriodicalId":443155,"journal":{"name":"2021 IEEE Symposium On Future Telecommunication Technologies (SOFTT)","volume":"297 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE Symposium On Future Telecommunication Technologies (SOFTT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SOFTT54252.2021.9673514","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

The aftermath of a disaster is a state of an emer-gency with damaged cellular towers and broken communication links. The situation requires a rapidly deployable communications network to conduct rescue operations. This paper presents a network architecture for handling disaster area communication, dealing with the execution of routing protocols fulfilling the network requirements. The study uses the NetSim network tool combined with the MATLAB API for designing the model. Mobile ad-hoc network (MANET) is simulated using drones as the mobile nodes providing connectivity with the victim cell phones. The data from the network is communicated to the fixed-mobile infrastructure through a base station mounted on a mobile remote vehicle (MRV). The effectiveness of the network is bench-marked based on battery usage, latency, and reliability of communication. The study's outcome is to reduce the communication delay, minimise the drone platform's energy consumption, and improve routing efficiency. The comparison shows DSR to have 0.1% and 0.2% better battery consumption than the AODV and OLSR, respectively. At the same time, OLSR is found to have the best response with the highest throughput of 0.59Mbps and low network latency of 0.277 microseconds.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于无人机的自组织蜂窝通信的灾区网络扩展
灾难的后果是一种紧急状态,手机信号塔受损,通信链路中断。这种情况需要一个快速部署的通信网络来进行救援行动。本文提出了一种处理灾区通信的网络体系结构,处理满足网络需求的路由协议的执行。本研究使用NetSim网络工具结合MATLAB API进行模型设计。模拟移动自组织网络(MANET),使用无人机作为移动节点,提供与受害者手机的连接。来自网络的数据通过安装在移动远程车辆(MRV)上的基站传送到固定移动基础设施。该网络的有效性基于电池使用情况、延迟和通信可靠性进行基准测试。该研究的结果是减少通信延迟,最大限度地减少无人机平台的能耗,并提高路由效率。对比显示,DSR比AODV和OLSR的电池消耗分别低0.1%和0.2%。同时,发现OLSR具有最佳响应,吞吐量最高为0.59Mbps,网络延迟低为0.277微秒。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
QoS based Multi-Agent vs. Single-Agent Deep Reinforcement Learning for V2X Resource Allocation Adaptation of Grover's Quantum Algorithm to Multiuser Detection in an OCDMA System Enhancement of Antenna Array Bandwidth through Matching Impedance Modification Using Double Stub Matching on Feeding Joint Time and Power Control Scheme for NOMA-enabled D2D Users with Energy Harvesting in IoT Environment Investigating Mother Constellation of SCMA Systems Having Capability of Multiuser Detection
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1