PSO algorithm for single and multiple odor sources localization problems: progress and challenge

Wisnu Jatmiko; F Jovan; RYS Dhiemas; MS Alvissalim; A Febrian; D Widiyanto; DMJ Purnomo; HA Wisesa; T Fukuda; K Sekiyama

doi:10.21307/ijssis-2017-925

PSO algorithm for single and multiple odor sources localization problems: progress and challenge

Wisnu Jatmiko, F Jovan, RYS Dhiemas, MS Alvissalim, A Febrian, D Widiyanto, DMJ Purnomo, HA Wisesa, T Fukuda, K Sekiyama

Research output: Contribution to journal › Article › peer-review

8 Citations (Scopus)

Abstract

Odor sensing technology in robotic research introduce two research field namely odor recognition and odor source localization. Odor source localization research also includes the odor recognition ability with localization method. This paper shows some experiment had been done to localize odor source using single agent and multiple agents. Experiment shows that single agent can’t be used in dynamic environment, hence also can’t be used in real life application. This paper promotes an algorithm known as Particle Swarm Optimization (PSO) to solve these problems. The experiment conducted using PSO shows that PSO able to localize the odor source in the same condition where single agent failed. However, PSO still need to be modified before it can be use widely. This paper
shows modification that has been proposed by the authors to enhance it’s ability. The research also has been push to solve multiple odor sources using parallel localization. To verify proposed method, software simulator was used. Results from these experiment show that Modified PSO is able to localize
all four odor sources in dynamic environment in 651.900 seconds within 7 x 7 meters search area. The modification being applied in this research not limited by searching technic but also creating two types of robot.

Original language	English
Pages (from-to)	1431-1478
Journal	International Journal on Smart Sensing and Intelligent Systems
Volume	9
Issue number	3
DOIs	https://doi.org/10.21307/ijssis-2017-925
Publication status	Published - Jan 2016
Externally published	Yes

Bibliographical note

This research is supported in part of grant No. 2226/H2.R12/HKP.05.00/2014 of "Sistim Inovasi Nasional" under the Indonesian Directorate of Research and Technology (RISTEK) and in part of grant No. 0477/UN2.R12/HKP.05.00/2015 of “Penelitian Unggulan Perguruan Tinggi” under Indonesian Directorate General of Higher Education (DIKTI).

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Cite this

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title = "PSO algorithm for single and multiple odor sources localization problems: progress and challenge",

abstract = "Odor sensing technology in robotic research introduce two research field namely odor recognition and odor source localization. Odor source localization research also includes the odor recognition ability with localization method. This paper shows some experiment had been done to localize odor source using single agent and multiple agents. Experiment shows that single agent can{\textquoteright}t be used in dynamic environment, hence also can{\textquoteright}t be used in real life application. This paper promotes an algorithm known as Particle Swarm Optimization (PSO) to solve these problems. The experiment conducted using PSO shows that PSO able to localize the odor source in the same condition where single agent failed. However, PSO still need to be modified before it can be use widely. This papershows modification that has been proposed by the authors to enhance it{\textquoteright}s ability. The research also has been push to solve multiple odor sources using parallel localization. To verify proposed method, software simulator was used. Results from these experiment show that Modified PSO is able to localizeall four odor sources in dynamic environment in 651.900 seconds within 7 x 7 meters search area. The modification being applied in this research not limited by searching technic but also creating two types of robot.",

author = "Wisnu Jatmiko and F Jovan and RYS Dhiemas and MS Alvissalim and A Febrian and D Widiyanto and DMJ Purnomo and HA Wisesa and T Fukuda and K Sekiyama",

note = "This research is supported in part of grant No. 2226/H2.R12/HKP.05.00/2014 of {"}Sistim Inovasi Nasional{"} under the Indonesian Directorate of Research and Technology (RISTEK) and in part of grant No. 0477/UN2.R12/HKP.05.00/2015 of “Penelitian Unggulan Perguruan Tinggi” under Indonesian Directorate General of Higher Education (DIKTI).",

year = "2016",

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AU - Jatmiko, Wisnu

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AU - Febrian, A

AU - Widiyanto, D

AU - Purnomo, DMJ

AU - Wisesa, HA

AU - Fukuda, T

AU - Sekiyama, K

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N2 - Odor sensing technology in robotic research introduce two research field namely odor recognition and odor source localization. Odor source localization research also includes the odor recognition ability with localization method. This paper shows some experiment had been done to localize odor source using single agent and multiple agents. Experiment shows that single agent can’t be used in dynamic environment, hence also can’t be used in real life application. This paper promotes an algorithm known as Particle Swarm Optimization (PSO) to solve these problems. The experiment conducted using PSO shows that PSO able to localize the odor source in the same condition where single agent failed. However, PSO still need to be modified before it can be use widely. This papershows modification that has been proposed by the authors to enhance it’s ability. The research also has been push to solve multiple odor sources using parallel localization. To verify proposed method, software simulator was used. Results from these experiment show that Modified PSO is able to localizeall four odor sources in dynamic environment in 651.900 seconds within 7 x 7 meters search area. The modification being applied in this research not limited by searching technic but also creating two types of robot.

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PSO algorithm for single and multiple odor sources localization problems: progress and challenge

Abstract

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