survey

Analytics for the Internet of Things: A Survey

Authors:

Thanassis Tiropanis,

Wendy HallAuthors Info & Claims

ACM Computing Surveys (CSUR), Volume 51, Issue 4

Article No.: 74, Pages 1 - 36

https://doi.org/10.1145/3204947

Published: 25 July 2018 Publication History

Abstract

The Internet of Things (IoT) envisions a world-wide, interconnected network of smart physical entities. These physical entities generate a large amount of data in operation, and as the IoT gains momentum in terms of deployment, the combined scale of those data seems destined to continue to grow. Increasingly, applications for the IoT involve analytics. Data analytics is the process of deriving knowledge from data, generating value like actionable insights from them. This article reviews work in the IoT and big data analytics from the perspective of their utility in creating efficient, effective, and innovative applications and services for a wide spectrum of domains. We review the broad vision for the IoT as it is shaped in various communities, examine the application of data analytics across IoT domains, provide a categorisation of analytic approaches, and propose a layered taxonomy from IoT data to analytics. This taxonomy provides us with insights on the appropriateness of analytical techniques, which in turn shapes a survey of enabling technology and infrastructure for IoT analytics. Finally, we look at some tradeoffs for analytics in the IoT that can shape future research.

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cover image ACM Computing Surveys

ACM Computing Surveys Volume 51, Issue 4

July 2019

765 pages

ISSN:0360-0300

EISSN:1557-7341

DOI:10.1145/3236632

Editor:
Sartaj Sahni
Department of Computer and Information Science and Engineering / University of Florida / Gainesville, FL 32611

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Publication History

Published: 25 July 2018

Accepted: 01 April 2018

Revised: 01 October 2017

Received: 01 May 2016

Published in CSUR Volume 51, Issue 4

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