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Storing and indexing IoT context for smart city applications

Version 2 2024-06-05, 01:26
Version 1 2018-11-12, 18:13
conference contribution
posted on 2024-06-05, 01:26 authored by A Medvedev, Arkady ZaslavskyArkady Zaslavsky, MI Santiago, PD Haghighi, A Hassani
© Springer International Publishing AG 2016. IoT system interoperability, data fusion, data discovery and access control for providing Context-as-a-Service as well as tools for building context-aware smart city applications are all significant research challenges for IoT-enabled smart cities. These middleware platforms have to cope with potentially big data generated from millions of devices in large cities. The amount of context, metadata, annotations in IoT ecosystems equals and may even exceed the amount of raw data. This paper discusses the challenges of context storage, retrieval and indexing for smart city applications. We analyse, compare and categorise existing approaches, tools and technologies relevant to the identified challenges. The paper proposes a conceptual architecture of a hybrid context storage and indexing mechanism that enables and supports the Context Spaces theory based representation of context for large-scale smart city applications. We illustrate the proposed approach using solid waste management system with adaptive on-demand garbage collection from IoT-enabled garbage bins.

History

Volume

9870

Pagination

115-128

Location

St. Petersburg, Russia

Start date

2016-09-26

End date

2016-09-28

ISSN

0302-9743

eISSN

1611-3349

ISBN-13

9783319463001

Language

eng

Publication classification

E Conference publication, E1.1 Full written paper - refereed

Copyright notice

2016, Springer International Publishing AG

Title of proceedings

Proceedings of the 16th International Conference, NEW2AN 2016 and 9th Conference, ruSMART 2016 : Internet of Things, Smart Spaces, and Next Generation Networks and Systems

Event

Next Generation Wired/Wireless Networking, ruSMART and NEW2AN . International Conference (2016 : St. Petersburg, Russia)

Publisher

Springer

Place of publication

New York, N.Y.

Series

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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