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        <identifier>oai:meral.edu.mm:recid/00007915</identifier>
        <datestamp>2021-12-13T00:40:05Z</datestamp>
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          <dc:title>A Lost Sensor Data Recovery Scheme for Sensor Data Stream Multicasting</dc:title>
          <dc:creator>Ei Khaing Win</dc:creator>
          <dc:creator>Tomoki Yoshihisa</dc:creator>
          <dc:creator>Yoshimasa Ishi</dc:creator>
          <dc:creator>Tomoya Kawakami</dc:creator>
          <dc:creator>Yuuichi Teranishi</dc:creator>
          <dc:creator>Shinji Shimojo</dc:creator>
          <dc:description>"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.
"</dc:description>
          <dc:date>2018-02-13</dc:date>
          <dc:identifier>http://hdl.handle.net/20.500.12678/0000007915</dc:identifier>
          <dc:identifier>https://meral.edu.mm/records/7915</dc:identifier>
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