Publication:
State-of-the-art data replication techniques in IoT-based sensor systems

dc.contributor.departmentDepartment of Computer Engineering
dc.contributor.departmentN/A
dc.contributor.kuauthorÖzkasap, Öznur
dc.contributor.kuauthorBin Qaim, Waleed
dc.contributor.kuprofileFaculty Member
dc.contributor.kuprofilePhD Student
dc.contributor.otherDepartment of Computer Engineering
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteGraduate School of Sciences and Engineering
dc.contributor.yokid113507
dc.contributor.yokidN/A
dc.date.accessioned2024-11-09T23:28:35Z
dc.date.issued2019
dc.description.abstractInternet of Things (IoT) is an emerging technology aimed at bridging the gap between physical and digital worlds. IoT envisions to provide a seamless and efficient way of interacting with real-world physical objects through the Internet which highly impacts modern day life. Wireless Sensor Networks (WSNs) are primarily responsible for turning physical objects into communicating entities that can be remotely accessed and controlled, thus, providing the basis for smart solutions to all the human needs. To realize the concept of IoT, efficient data generation, collection, and presentation through WSNs are crucial issues. However, WSNs face numerous challenges mainly because of the resource-constrained and unreliable nature of nodes which may result in loss of valuable sensed data. Data replication is a promising solution to facilitate efficient data management in IoT-based sensor systems. This paper presents a survey of state-of-the-art data replication protocols for IoT-based sensor systems. To the best of our knowledge, our study is the first one that presents a detailed analysis and comparison of the existing solutions by classifying them into sub-categories of data retrieval, query balancing, system robustness, and data availability. We conclude by highlighting potential future research directions.
dc.description.indexedbyWoS
dc.description.indexedbyScopus
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.identifier.doi10.1109/GLOCOMW.2018.8644438
dc.identifier.isbn9781-5386-4920-6
dc.identifier.linkhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85063522989&doi=10.1109%2fGLOCOMW.2018.8644438&partnerID=40&md5=fdf5cfc164d38698769d59d5bb743c5e
dc.identifier.scopus2-s2.0-85063522989
dc.identifier.urihttps://dx.doi.org/10.1109/GLOCOMW.2018.8644438
dc.identifier.urihttps://hdl.handle.net/20.500.14288/11913
dc.identifier.wos462817000251
dc.keywordsData availability
dc.keywordsData replication
dc.keywordsInternet of Things (IoT)
dc.keywordsWireless Sensor Networks (WSNs) Information management
dc.keywordsSearch engines
dc.keywordsEmerging technologies
dc.keywordsFuture research directions
dc.keywordsState of the art
dc.keywordsSystem robustness
dc.languageEnglish
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.source2018 IEEE Globecom Workshops, GC Wkshps 2018 - Proceedings
dc.subjectComputer Science
dc.titleState-of-the-art data replication techniques in IoT-based sensor systems
dc.typeConference proceeding
dspace.entity.typePublication
local.contributor.authorid0000-0003-4343-0986
local.contributor.authorid0000-0002-9308-5087
local.contributor.kuauthorÖzkasap, Öznur
local.contributor.kuauthorBin Qaim, Waleed
relation.isOrgUnitOfPublication89352e43-bf09-4ef4-82f6-6f9d0174ebae
relation.isOrgUnitOfPublication.latestForDiscovery89352e43-bf09-4ef4-82f6-6f9d0174ebae

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