Delay Minimization for Spatial Data Processing in Wireless Networked Disaster Areas

Yu Wang, Michael Conrad Meyer, Junbo Wang, Xiaohua Jia

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

Spatial big data analytics has become possible with the data collected from the sensors in smart phones, which can support decision-making in disaster scenarios. However, sometimes the regular communication infrastructure can be destroyed after disasters. Movable base stations (MBS), as studied by the company NTT, offer an easily deployable solution to construct an emergency communication network, but are not suitable for transmitting big data from sensing devices to the cloud for data processing in the cloud. To solve this issue, we studied a novel algorithm to process spatial big data efficiently in a wirelessly networked disaster area that uses multiple MBSs. More specifically, we proposed a novel algorithm to minimize overall delay for spatial data processing in wirelessly-networked disaster areas (SDP-WNDA), to enable quick responses to data analysis. Our proposed model and genetic algorithm solution showed to have a reduced maximum end- to-end (E2E) delay over various network sizes, when compared to some conventional solutions. For the realistic constraints, the cloud solution was the best conventional method, followed by the system which used the fog nodes to process as much data as possible, but the genetic algorithm (GA) had a slight advantage over all other methods. However, as the computation rate, μk, was increased, the maximum processing algorithm got much stronger. Also, as the communication capacity, R, was increased, the cloud computing solution was more successful. The fact that none of the conventional cases matched the capabilities of the GA for increased computation or increased transmission rates suggests the need for this to be investigated even further.

本文言語English
ホスト出版物のタイトル2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1-6
ページ数6
ISBN(電子版)9781509050192
DOI
出版ステータスPublished - 2017 7月 1
外部発表はい
イベント2017 IEEE Global Communications Conference, GLOBECOM 2017 - Singapore, Singapore
継続期間: 2017 12月 42017 12月 8

出版物シリーズ

名前2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings
2018-January

Other

Other2017 IEEE Global Communications Conference, GLOBECOM 2017
国/地域Singapore
CitySingapore
Period17/12/417/12/8

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • ハードウェアとアーキテクチャ
  • 安全性、リスク、信頼性、品質管理

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