{"created":"2021-01-29T08:06:17.467571+00:00","id":7915,"links":{},"metadata":{"_buckets":{"deposit":"0f72c7d2-f19f-4f9a-848d-4a4ab19af21b"},"_deposit":{"created_by":73,"id":"7915","owner":"73","owners":[73],"owners_ext":{"displayname":"","email":"thandar_htwe@miit.edu.mm","username":""},"pid":{"revision_id":0,"type":"depid","value":"7915"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/00007915","sets":["1582963674932","1582963674932:1597396989070"]},"communities":["miit"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"A Lost Sensor Data Recovery Scheme for Sensor Data Stream Multicasting","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"\"In this paper, we propose a lost data recovery scheme called the synchronized recovery stream merging\n(SRSM) for sensor data stream multicasting in the unstable networks of the IoT applications. We propose two types\nof SRSM. The first one is “Latency-aware synchronized recovery stream merging (SRSM-L)” for IoT applications\nthat has restrictions of acceptable latency. The other is “Bandwidth-dependent synchronized recovery stream merging\n(SRSM-B)” for the cases in which the network bandwidth for the sender is limited. Our proposed schemes reduce\nthe number of the streams managed by the sender by waiting for other recovery streams to synchronize the delivery\ntiming 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\nbandwidth of the sender about 52% in the random failure situation, keeping the acceptable latency. We also confirmed\nthat SRSM-B could keep the specified number of streams constant and the latency overheads small in the burst failure\nsituation.\n\""}]},"item_1583103108160":{"attribute_name":"Keywords","attribute_value_mlt":[{"interim":"lost data recovery, synchronized recovery stream merging, sensor data stream multicasting, sensor network, latency-aware, bandwidth-dependent"}]},"item_1583103120197":{"attribute_name":"Files","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2021-01-29"}],"displaytype":"preview","filename":"A Lost Sensor Data Recovery Scheme for Sensor Data Stream Multicasting.pdf","filesize":[{"value":"1.3 MB"}],"format":"application/pdf","licensetype":"license_3","url":{"url":"https://meral.edu.mm/record/7915/files/A Lost Sensor Data Recovery Scheme for Sensor Data Stream Multicasting.pdf"},"version_id":"0c6bb57d-42f8-419a-8c63-3b44ea04c04b"}]},"item_1583103131163":{"attribute_name":"Journal articles","attribute_value_mlt":[{"subitem_issue":"Issue 1","subitem_journal_title":"\"Journal of Information Processing, Japan (IPSJ)\"","subitem_pages":"Pages 158-168","subitem_volume":"\"Journal of Information Processing, Japan (IPSJ)\""}]},"item_1583105942107":{"attribute_name":"Authors","attribute_value_mlt":[{"subitem_authors":[{"subitem_authors_fullname":"Ei Khaing Win"},{"subitem_authors_fullname":"Tomoki Yoshihisa"},{"subitem_authors_fullname":"Yoshimasa Ishi"},{"subitem_authors_fullname":"Tomoya Kawakami"},{"subitem_authors_fullname":"Yuuichi Teranishi"},{"subitem_authors_fullname":"Shinji Shimojo"}]}]},"item_1583108359239":{"attribute_name":"Upload type","attribute_value_mlt":[{"interim":"Publication"}]},"item_1583108428133":{"attribute_name":"Publication type","attribute_value_mlt":[{"interim":"Journal article"}]},"item_1583159729339":{"attribute_name":"Publication date","attribute_value":"2018-02-13"},"item_title":"A Lost Sensor Data Recovery Scheme for Sensor Data Stream Multicasting","item_type_id":"21","owner":"73","path":["1582963674932","1597396989070"],"publish_date":"2018-02-13","publish_status":"0","recid":"7915","relation_version_is_last":true,"title":["A Lost Sensor Data Recovery Scheme for Sensor Data Stream Multicasting"],"weko_creator_id":"73","weko_shared_id":-1},"updated":"2021-12-13T00:40:05.537402+00:00"}