A service based architecture for multidisciplinary IoT experiments with crowdsourced resources

Authors: Alexandrou, P. et al.

http://eprints.bournemouth.ac.uk/29993/

http://dx.doi.org/10.1007/978-3-319-40509-4_13

Journal: Ad-hoc, Mobile, and Wireless Networks - 15th International Conference, ADHOC-NOW 2016, Lille, France, July 4-6, 2016, Proceedings

Pages: 187-201

DOI: 10.1007/978-3-319-40509-4_13

This data was imported from Scopus:

Authors: Alexandrou, P. et al.

http://eprints.bournemouth.ac.uk/29993/

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

Volume: 9724

Pages: 187-201

eISSN: 1611-3349

ISBN: 9783319405087

ISSN: 0302-9743

DOI: 10.1007/978-3-319-40509-4_13

© Springer International Publishing Switzerland 2016. Research on emerging networking paradigms, such as Mobile Crowdsensing Systems, requires new types of experiments to be conducted and an increasing spectrum of devices to be supported by experimenting facilities. In this work, we present a service based architecture for IoT testbeds which (a) exposes the operations of a testbed as services by following the Testbed as a Service (TBaaS) paradigm; (b) enables diverse facilities to be federated in a scalable and standardized way and (c) enables the seamless integration of crowdsourced resources (e.g. smartphones and wearables) and their abstraction as regular IoT resources. The architecture enables an experimenter to access a diverse set of resources and orchestrate experiments via a common interface by hiding the underlying heterogeneity and complexity. This way, the field of IoT experimentation with real resources is further promoted and broadened to also address researchers from other fields and disciplines.

This data was imported from Web of Science (Lite):

Authors: Alexandrou, P. et al.

http://eprints.bournemouth.ac.uk/29993/

Journal: AD-HOC, MOBILE, AND WIRELESS NETWORKS, ADHOC-NOW 2016

Volume: 9724

Pages: 187-201

eISSN: 1611-3349

ISBN: 978-3-319-40508-7

ISSN: 0302-9743

DOI: 10.1007/978-3-319-40509-4_13

The data on this page was last updated at 13:55 on February 25, 2020.