3 Citations (Scopus)

Abstract

Automatic Identification System (AIS) is a system designed to improve maritime security by enabling the ship navigator to view the identity, position, and direction of other ships nearby. AIS data can be used to monitor ship activities. AIS data send simultaneously from multiple ship at very fast intervals. With the increased amount of data received, the performance of data retrieval using traditional RDBMS often decreased significantly. Also, storing geospatial data in traditional RDBMS or NoSQL lead to persistence of data, which is not required when tracking ship position, as majority of ship always moving. The increased amount of ship shown in monitoring map make it less informative, hence affecting users who use monitoring system. This paper proposes a fast cluster-based method to store and query AIS geospatial information using Redis and also maps it as a cluster into a web-based map to provide a faster and more efficient display.

Original languageEnglish
Title of host publication2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Proceeding
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages265-269
Number of pages5
ISBN (Electronic)9781538675090
DOIs
Publication statusPublished - 2 Jul 2018
Event2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Surabaya, Indonesia
Duration: 26 Nov 201827 Nov 2018

Publication series

Name2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Proceeding

Conference

Conference2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018
Country/TerritoryIndonesia
CitySurabaya
Period26/11/1827/11/18

Keywords

  • AIS
  • Automatic Identification System
  • Geohash
  • Redis
  • Server side cluster
  • Ship Tracking

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