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A Lost Data Recovery Scheme for Sensor Data Stream Multicasting
https://ipsj.ixsq.nii.ac.jp/records/185855
https://ipsj.ixsq.nii.ac.jp/records/185855d90b85db-a67f-440a-8d08-0d1641bf192a
名前 / ファイル | ライセンス | アクション |
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Copyright (c) 2018 by the Information Processing Society of Japan
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オープンアクセス |
Item type | Journal(1) | |||||||||||||||||
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公開日 | 2018-02-15 | |||||||||||||||||
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タイトル | A Lost Data Recovery Scheme for Sensor Data Stream Multicasting | |||||||||||||||||
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言語 | en | |||||||||||||||||
タイトル | A Lost Data Recovery Scheme for Sensor Data Stream Multicasting | |||||||||||||||||
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言語 | eng | |||||||||||||||||
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主題Scheme | Other | |||||||||||||||||
主題 | [特集:ネットワークサービスと分散処理] lost data recovery, synchronized recovery stream merging, sensor data stream multicasting, sensor network, latency-aware, bandwidth-dependent | |||||||||||||||||
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資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||||||||||
資源タイプ | journal article | |||||||||||||||||
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Osaka University | ||||||||||||||||||
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Osaka University | ||||||||||||||||||
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Osaka University | ||||||||||||||||||
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Nara Institute of Science and technology | ||||||||||||||||||
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National Institute of Information and Communications Technology | ||||||||||||||||||
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Osaka University | ||||||||||||||||||
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Osaka University | ||||||||||||||||||
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Osaka University | ||||||||||||||||||
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Osaka University | ||||||||||||||||||
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Nara Institute of Science and technology | ||||||||||||||||||
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National Institute of Information and Communications Technology | ||||||||||||||||||
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Osaka University | ||||||||||||||||||
著者名 |
Ei, Khaing Win
× Ei, Khaing Win
× Tomoki, Yoshihisa
× Yoshimasa, Ishi
× Tomoya, Kawakami
× Yuuichi, Teranishi
× Shinji, Shimojo
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著者名(英) |
Ei, Khaing Win
× Ei, Khaing Win
× Tomoki, Yoshihisa
× Yoshimasa, Ishi
× Tomoya, Kawakami
× Yuuichi, Teranishi
× Shinji, Shimojo
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論文抄録 | ||||||||||||||||||
内容記述タイプ | Other | |||||||||||||||||
内容記述 | In this paper, we propose a lost data recovery scheme called the synchronized recovery stream merging (SRSM) for sensor data stream multicasting in the unstable networks of the IoT applications. We propose two types of SRSM. The first one is “Latency-aware synchronized recovery stream merging (SRSM-L)” for IoT applications that has restrictions of acceptable latency. The other is “Bandwidth-dependent synchronized recovery stream merging (SRSM-B)” for the cases in which the network bandwidth for the sender is limited. Our proposed schemes reduce the number of the streams managed by the sender by waiting for other recovery streams to synchronize the delivery timing and merging. From our simulation evaluations, we confirmed that our proposed schemes save network bandwidth on the sender in the random and burst failure situations. We confirmed that SRSM-L could reduce the network bandwidth of the sender about 52% in the random failure situation, keeping the acceptable latency. We also confirmed that SRSM-B could keep the specified number of streams constant and the latency overheads small in the burst failure situation. ------------------------------ 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.26(2018) (online) DOI http://dx.doi.org/10.2197/ipsjjip.26.158 ------------------------------ |
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論文抄録(英) | ||||||||||||||||||
内容記述タイプ | Other | |||||||||||||||||
内容記述 | In this paper, we propose a lost data recovery scheme called the synchronized recovery stream merging (SRSM) for sensor data stream multicasting in the unstable networks of the IoT applications. We propose two types of SRSM. The first one is “Latency-aware synchronized recovery stream merging (SRSM-L)” for IoT applications that has restrictions of acceptable latency. The other is “Bandwidth-dependent synchronized recovery stream merging (SRSM-B)” for the cases in which the network bandwidth for the sender is limited. Our proposed schemes reduce the number of the streams managed by the sender by waiting for other recovery streams to synchronize the delivery timing and merging. From our simulation evaluations, we confirmed that our proposed schemes save network bandwidth on the sender in the random and burst failure situations. We confirmed that SRSM-L could reduce the network bandwidth of the sender about 52% in the random failure situation, keeping the acceptable latency. We also confirmed that SRSM-B could keep the specified number of streams constant and the latency overheads small in the burst failure situation. ------------------------------ 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.26(2018) (online) DOI http://dx.doi.org/10.2197/ipsjjip.26.158 ------------------------------ |
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収録物識別子タイプ | NCID | |||||||||||||||||
収録物識別子 | AN00116647 | |||||||||||||||||
書誌情報 |
情報処理学会論文誌 巻 59, 号 2, 発行日 2018-02-15 |
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収録物識別子タイプ | ISSN | |||||||||||||||||
収録物識別子 | 1882-7764 |