Distributed odor source localization in dynamic environment

Wisnu Jatmiko, Y. Ikemoto, T. Matsuno, T. Fukuda, K. Sekiyama

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

24 Citations (Scopus)

Abstract

This paper addresses the problem of odor source localization in a dynamic environment, which means the odor distribution is changing over time. Modification Particle Swarm Optimization is a well-known algorithm, which can continuously track a changing optimum over time. PSO can be improved or adapted by incorporating the change detection and responding mechanisms for solving dynamic problems. Charge PSO, which is another extension of the PSO has also been applied to solve dynamic problem. Odor source localization is an interesting application in dynamic problem. We will adopt two types of PSO modification concepts to develop a new algorithm in order to control autonomous vehicles. Then we develop odor localization algorithm, and simulations to show that the new approach can solve such a kind of dynamic environment problem.

Original languageEnglish
Title of host publicationProceedings of the Fourth IEEE Conference on Sensors 2005
Pages254-257
Number of pages4
DOIs
Publication statusPublished - 1 Dec 2005
EventFourth IEEE Conference on Sensors 2005 - Irvine, CA, United States
Duration: 31 Oct 20053 Nov 2005

Publication series

NameProceedings of IEEE Sensors
Volume2005

Conference

ConferenceFourth IEEE Conference on Sensors 2005
Country/TerritoryUnited States
CityIrvine, CA
Period31/10/053/11/05

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