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Data-driven optimizations in IoT: a new frontier of challenges and opportunities

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dc.contributor.author Tripathi, Sharda
dc.date.accessioned 2023-04-05T10:04:33Z
dc.date.available 2023-04-05T10:04:33Z
dc.date.issued 2019-03
dc.identifier.uri https://link.springer.com/article/10.1007/s40012-019-00217-y
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/10179
dc.description.abstract Internet of Things (IoT) has gained tremendous popularity with the recent fast-paced technological advances in embedded programmable electronic and electro-mechanical systems, miniaturization, and their networking ability. IoT is expected to change the way of human activities by extensively networked monitoring, automation, and control. However, widespread application of IoT is associated with numerous challenges on communication and storage requirements, energy sustainability, and security. Also, IoT data traffic as well as the service quality requirements are application-specific. Through a few practical example cases, this article presents IoT data driven unique communication approaches and optimization techniques to reduce the data handling footprint, leading to communication bandwidth, cloud storage, and energy saving, without compromising the service quality. Subsequently, it discusses newer challenges that are needed to be tackled, to make the IoT applications practically viable for their wide-ranging adoption. en_US
dc.language.iso en en_US
dc.publisher Springer en_US
dc.subject EEE en_US
dc.subject Internet of Things (IoT) en_US
dc.title Data-driven optimizations in IoT: a new frontier of challenges and opportunities en_US
dc.type Article en_US


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