Dynamic Swarm Spatial Scaling for Mobile Sensing Cluster in a Noisy Environment

• Item type: Journal(1)
• 公開日: 2021-02-15
• タイトル: Dynamic Swarm Spatial Scaling for Mobile Sensing Cluster in a Noisy Environment
• タイトル / 言語: en
• タイトル: Dynamic Swarm Spatial Scaling for Mobile Sensing Cluster in a Noisy Environment
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: [特集：ネットワークサービスと分散処理] wireless sensor networks, particle swarm optimization, autonomous mobile devices
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_6501
• 資源タイプ: journal article
• 著者所属: Graduate School of Science and Engineering, Kansai University
• 著者所属: Faculty of Environmental and Urban Engineering, Kansai University
• 著者所属: Organization for Research and Development of Innovative Science and Technology Kansai University
• 著者所属: Faculty of Engineering Science, Kansai University
• 著者所属: Faculty of Environmental and Urban Engineering, Kansai University
• 著者所属(英): en
• 著者所属(英): Graduate School of Science and Engineering, Kansai University
• 著者所属(英): en
• 著者所属(英): Faculty of Environmental and Urban Engineering, Kansai University
• 著者所属(英): en
• 著者所属(英): Organization for Research and Development of Innovative Science and Technology Kansai University
• 著者所属(英): en
• 著者所属(英): Faculty of Engineering Science, Kansai University
• 著者所属(英): en
• 著者所属(英): Faculty of Environmental and Urban Engineering, Kansai University
• 著者名: Eiji, Nii; Shoma, Nishigami; Takamasa, Kitanouma; Hiroyuki, Yomo; Yasuhisa, Takizawa
• 著者名(英): Eiji, Nii; Shoma, Nishigami; Takamasa, Kitanouma; Hiroyuki, Yomo; Yasuhisa, Takizawa
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: Autonomous mobile devices, such as robots and unmanned aerial vehicles, as alternatives to humans, are expected to be applied to searching for and manipulating a variety of emergent events of which the location and number of occurrences are unknown. When an autonomous mobile device searches for an event, it needs to sense a physical signal emitted by an event, such as radio waves, smell or temperature. After a device finds an event, it must manipulate the event. We previously proposed Mobile Sensing Cluster (MSC), which applies swarm intelligence to multiple autonomous mobile devices to quickly search for and manipulate multiple events using dynamically formed multiple swarms of mobile devices. However, in an environment that the physical signal emitted by an event and sensed by a device includes some random noises, the behavior of swarms in MSC becomes unstable. As a result, MSC requires a long time to search and manipulate. In this paper, we propose a dynamic swarm spatial scaling MSC for improving the tolerance of MSC against such random noises, and show its effectiveness.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.29(2021) (online); DOI http://dx.doi.org/10.2197/ipsjjip.29.140; ------------------------------
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: Autonomous mobile devices, such as robots and unmanned aerial vehicles, as alternatives to humans, are expected to be applied to searching for and manipulating a variety of emergent events of which the location and number of occurrences are unknown. When an autonomous mobile device searches for an event, it needs to sense a physical signal emitted by an event, such as radio waves, smell or temperature. After a device finds an event, it must manipulate the event. We previously proposed Mobile Sensing Cluster (MSC), which applies swarm intelligence to multiple autonomous mobile devices to quickly search for and manipulate multiple events using dynamically formed multiple swarms of mobile devices. However, in an environment that the physical signal emitted by an event and sensed by a device includes some random noises, the behavior of swarms in MSC becomes unstable. As a result, MSC requires a long time to search and manipulate. In this paper, we propose a dynamic swarm spatial scaling MSC for improving the tolerance of MSC against such random noises, and show its effectiveness.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.29(2021) (online); DOI http://dx.doi.org/10.2197/ipsjjip.29.140; ------------------------------
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AN00116647
• 書誌情報: 情報処理学会論文誌; 巻 62, 号 2, 発行日 2021-02-15
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-7764