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The Role of Mobile Edge Computing Towards Assisting IoT with Distributed Intelligence: A SmartLiving Perspective
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.ORCID iD: 0000-0001-8506-5839
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2018 (English)In: Mobile Solutions and Their Usefulness in Everyday Life / [ed] Sara Paiva, Springer, 2018, p. 33-45Chapter in book (Refereed)
Abstract [en]

Internet-of-Things (IoT) promises to impact every aspect of our daily life by connecting and automating everyday objects which bring the notion of SmartLiving. While it is certain that the trend will grow at a rapid speed, at the same time, challenge to alleviate intelligence of things by reaping value from the data requires to be addressed. The intelligence further cannot depend only on the existing cloud-based solutions which edge computing is expected to mitigate by integrating distributed intelligence. An IoT application necessitates applying knowledge with low latency. However, to comply with the vision of autonomic IoT and real-time intelligence, extracting and applying knowledge are necessitated for which this chapter proposes to exploit mobile edge computing (MEC) to further assist distributed intelligence. Therefore, the problem that this chapter addresses is feasibility investigation of MEC to provide intelligence by reasoning contextualised data and, thereby, the role of MEC in distributed intelligence.

Place, publisher, year, edition, pages
Springer, 2018. p. 33-45
Series
EAI/Springer Innovations in Communication and Computing, ISSN 2522-8595, E-ISSN 2522-8609
Keywords [en]
Internet-of-Things, SmartLiving, mobile edge computing, distributed intelligence
National Category
Information Systems
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-163220DOI: 10.1007/978-3-319-93491-4_2ISBN: 978-3-319-93490-7 (print)ISBN: 978-3-319-93491-4 (electronic)OAI: oai:DiVA.org:su-163220DiVA, id: diva2:1271971
Available from: 2018-12-18 Created: 2018-12-18 Last updated: 2022-02-26Bibliographically approved

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Rahman, HasiburRahmani, RahimKanter, Theo

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