@article{oai:ipsj.ixsq.nii.ac.jp:00185855,
 author = {Ei, Khaing Win and Tomoki, Yoshihisa and Yoshimasa, Ishi and Tomoya, Kawakami and Yuuichi, Teranishi and Shinji, Shimojo and Ei, Khaing Win and Tomoki, Yoshihisa and Yoshimasa, Ishi and Tomoya, Kawakami and Yuuichi, Teranishi and Shinji, Shimojo},
 issue = {2},
 journal = {情報処理学会論文誌},
 month = {Feb},
 note = {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
------------------------------, 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
------------------------------},
 title = {A Lost Data Recovery Scheme for Sensor Data Stream Multicasting},
 volume = {59},
 year = {2018}
}