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  1. Myanmar Institute of Information Technology
  1. Myanmar Institute of Information Technology
  2. Faculty of Computer Science

A Lost Sensor Data Recovery Scheme for Sensor Data Stream Multicasting

http://hdl.handle.net/20.500.12678/0000007915
http://hdl.handle.net/20.500.12678/0000007915
58ea57ba-cce0-4778-b3b1-58ebd20a485d
0f72c7d2-f19f-4f9a-848d-4a4ab19af21b
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Publication type
Journal article
Upload type
Publication
Title
Title A Lost Sensor Data Recovery Scheme for Sensor Data Stream Multicasting
Language en
Publication date 2018-02-13
Authors
Ei Khaing Win
Tomoki Yoshihisa
Yoshimasa Ishi
Tomoya Kawakami
Yuuichi Teranishi
Shinji Shimojo
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 band￾width 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.
"
Keywords
lost data recovery, synchronized recovery stream merging, sensor data stream multicasting, sensor network, latency-aware, bandwidth-dependent
Journal articles
Issue 1
"Journal of Information Processing, Japan (IPSJ)"
Pages 158-168
"Journal of Information Processing, Japan (IPSJ)"
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