Optimal location analysis of TOD sensor for detect infiltration using genetic algorithm

Sangpil Kim, Hong Gyoo Sohn, Soonam Bang, Namhoon Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

To determine the optimal location of TOD sensor, infiltration route analysis should precede. Because of car navigation system, route analysis is one of most famous GIS technique. Most routeanalysis techniques are based on graph (network), however infiltration route has some different characteristic. It is hard to apply most route analysis methods in infiltration route analysis, because there are no pre-defined nodes or edges in infiltration route. For this reason, infiltration route analysis should be done based on raster data. Each pixel of raster data can be considered nodes of graph data, but it can cause massive computations and the location of TOD sensor also has a lot of cases. To overcome massive computations, genetic algorithm was applied infiltration route analysis. The result of GA is compared with Dijkstra algorithm. The result shows that the proposed method efficiently finds the optimal routes.

Original languageEnglish
Title of host publication34th Asian Conference on Remote Sensing 2013, ACRS 2013
PublisherAsian Association on Remote Sensing
Pages831-832
Number of pages2
ISBN (Print)9781629939100
Publication statusPublished - 2013
Event34th Asian Conference on Remote Sensing 2013, ACRS 2013 - Bali, Indonesia
Duration: 2013 Oct 202013 Oct 24

Publication series

Name34th Asian Conference on Remote Sensing 2013, ACRS 2013
Volume1

Other

Other34th Asian Conference on Remote Sensing 2013, ACRS 2013
CountryIndonesia
CityBali
Period13/10/2013/10/24

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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  • Cite this

    Kim, S., Sohn, H. G., Bang, S., & Kim, N. (2013). Optimal location analysis of TOD sensor for detect infiltration using genetic algorithm. In 34th Asian Conference on Remote Sensing 2013, ACRS 2013 (pp. 831-832). (34th Asian Conference on Remote Sensing 2013, ACRS 2013; Vol. 1). Asian Association on Remote Sensing.