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  1. 論文誌(ジャーナル)
  2. Vol.59
  3. No.2

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/185855
d90b85db-a67f-440a-8d08-0d1641bf192a
名前 / ファイル ライセンス アクション
IPSJ-JNL5902034.pdf IPSJ-JNL5902034.pdf (1.3 MB)
Copyright (c) 2018 by the Information Processing Society of Japan
オープンアクセス
Item type Journal(1)
公開日 2018-02-15
タイトル
タイトル A Lost Data Recovery Scheme for Sensor Data Stream Multicasting
タイトル
言語 en
タイトル A Lost Data Recovery Scheme for Sensor Data Stream Multicasting
言語
言語 eng
キーワード
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
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
Osaka University
著者所属
Osaka University
著者所属
Osaka University
著者所属
Nara Institute of Science and technology
著者所属
National Institute of Information and Communications Technology
著者所属
Osaka University
著者所属(英)
en
Osaka University
著者所属(英)
en
Osaka University
著者所属(英)
en
Osaka University
著者所属(英)
en
Nara Institute of Science and technology
著者所属(英)
en
National Institute of Information and Communications Technology
著者所属(英)
en
Osaka University
著者名 Ei, Khaing Win

× Ei, Khaing Win

Ei, Khaing Win

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Tomoki, Yoshihisa

× Tomoki, Yoshihisa

Tomoki, Yoshihisa

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Yoshimasa, Ishi

× Yoshimasa, Ishi

Yoshimasa, Ishi

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Tomoya, Kawakami

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Tomoya, Kawakami

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Yuuichi, Teranishi

× Yuuichi, Teranishi

Yuuichi, Teranishi

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Shinji, Shimojo

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Shinji, Shimojo

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著者名(英) Ei, Khaing Win

× Ei, Khaing Win

en Ei, Khaing Win

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Tomoki, Yoshihisa

× Tomoki, Yoshihisa

en Tomoki, Yoshihisa

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Yoshimasa, Ishi

× Yoshimasa, Ishi

en Yoshimasa, Ishi

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Tomoya, Kawakami

× Tomoya, Kawakami

en Tomoya, Kawakami

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Yuuichi, Teranishi

× Yuuichi, Teranishi

en Yuuichi, Teranishi

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Shinji, Shimojo

× Shinji, Shimojo

en 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
------------------------------
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
------------------------------
書誌レコードID
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
ISSN
収録物識別子タイプ ISSN
収録物識別子 1882-7764
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