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        <identifier>oai:ipsj.ixsq.nii.ac.jp:00113147</identifier>
        <datestamp>2025-01-20T06:44:53Z</datestamp>
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          <dc:title>Mobile Devices as an Infrastructure: A Survey of Opportunistic Sensing Technology</dc:title>
          <dc:title>Mobile Devices as an Infrastructure: A Survey of Opportunistic Sensing Technology</dc:title>
          <dc:creator>Takamasa, Higuchi</dc:creator>
          <dc:creator>Hirozumi, Yamaguchi</dc:creator>
          <dc:creator>Teruo, Higashino</dc:creator>
          <dc:creator>Takamasa, Higuchi</dc:creator>
          <dc:creator>Hirozumi, Yamaguchi</dc:creator>
          <dc:creator>Teruo, Higashino</dc:creator>
          <dc:subject>[特集：ネットワークサービスと分散処理（招待論文）] opportunistic sensing, participatory sensing, crowd behavior,  environmental monitoring, crowd sourcing</dc:subject>
          <dc:description>Now that billions of people carry sensor-enabled mobile devices (e.g., smartphones), employing powerful capability of such commercial mobile products has become a promising approach for large-scale environmental and human-behavioral sensing. Such a new paradigm of scalable context monitoring is known as opportunistic sensing, and has been successfully applied to a broad range of applications. In this paper, we briefly introduce basic architecture and building blocks on which these emerging systems are based, and then provide a survey of recent progress in the opportunistic sensing technology.

------------------------------
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.23(2015) No.2 (online)
------------------------------</dc:description>
          <dc:description>Now that billions of people carry sensor-enabled mobile devices (e.g., smartphones), employing powerful capability of such commercial mobile products has become a promising approach for large-scale environmental and human-behavioral sensing. Such a new paradigm of scalable context monitoring is known as opportunistic sensing, and has been successfully applied to a broad range of applications. In this paper, we briefly introduce basic architecture and building blocks on which these emerging systems are based, and then provide a survey of recent progress in the opportunistic sensing technology.

------------------------------
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.23(2015) No.2 (online)
------------------------------</dc:description>
          <dc:description>journal article</dc:description>
          <dc:date>2015-02-15</dc:date>
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          <dc:identifier>情報処理学会論文誌</dc:identifier>
          <dc:identifier>2</dc:identifier>
          <dc:identifier>56</dc:identifier>
          <dc:identifier>1882-7764</dc:identifier>
          <dc:identifier>AN00116647</dc:identifier>
          <dc:identifier>https://ipsj.ixsq.nii.ac.jp/record/113147/files/IPSJ-JNL5602002.pdf</dc:identifier>
          <dc:language>eng</dc:language>
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