Data Format Heterogeneity in IoT-Based Ambient Assisted Living: A Survey

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dc.contributor.authorSandeep, M.
dc.contributor.authorKhatri, S.
dc.contributor.authorChandavarkar, B.R.
dc.date.accessioned2026-02-06T06:35:06Z
dc.date.issued2023
dc.description.abstractAmbient Assisted Living (AAL) has become a significant component of the lives of the elderly in the present decade, allowing them to live independently by assisting their daily activities with automation. Different sensors from various manufacturers with proprietary data formats to detect environmental changes and monitor a person’s health metrics. These data formats are the root cause of the data Heterogeneity issue in AAL and, in turn, contribute to data interoperability challenges. In this paper, we have presented a survey on currently available state-of-the-art solutions to address data heterogeneity challenges in AAL and made a comparative study of suggested methods to overcome the data interoperability. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
dc.identifier.citationLecture Notes in Networks and Systems, 2023, Vol.554, , p. 505-515
dc.identifier.issn23673370
dc.identifier.urihttps://doi.org/10.1007/978-981-19-6661-3_46
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/29648
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.subjectAmbient assisted living
dc.subjectData aggregation
dc.subjectData format
dc.subjectData heterogeneity
dc.subjectData interoperability
dc.subjectInternet of Things
dc.titleData Format Heterogeneity in IoT-Based Ambient Assisted Living: A Survey

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