Title | ||
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Contextualised service delivery in the Internet of Things: Parking recommender for smart cities |
Abstract | ||
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The Internet of Things (IoT) plays an important role in the development of smart cities. In this paper we focus on the development of IoT-based smart services for solving urban problems that involve IoT-enabled Observation, Orientation, Decision, and Action (OODA) loops. We also focus on how to efficiently support such OODA loops in situations where such loops involve internet-scale data. More specifically, IoT supports Observation via the discovery of sensors and the integration of their data. It supports Orientation via a contextualisation process that refines such data to include only those that are relevant to the situation and/or activities of each specific individual or group. As IoT contextualisation potentially involves internet-scale data, performing this process efficiently allows for fast decision making, and this in turn permits carrying out a timely Action. In this paper we propose an approach and related techniques for performing internet-scale data contextualisation. In particular, we propose IoT-based contextualisation techniques that effectively consider the entire range of data that is being collected in smart cities and use such data to provide hyper-personalised information to each user, i.e., information that best suits the context of each user in the Smart City. We exemplify the proposed contextualisation solution in a smart parking space recommender application/service, and provide an experimental evaluation of this service to illustrate the benefits of our solution. |
Year | DOI | Venue |
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2016 | 10.1109/WF-IoT.2016.7845479 | 2016 IEEE 3rd World Forum on Internet of Things (WF-IoT) |
Keywords | Field | DocType |
Internet of Things,Context,Contextualisation,Scalable Recommendation,Big Data | World Wide Web,Computer security,Computer science,Internet of Things,OODA loop,Computer network,Smart parking,Smart city,Big data,Service delivery framework | Conference |
ISBN | Citations | PageRank |
978-1-5090-4131-2 | 0 | 0.34 |
References | Authors | |
0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ali Yavari | 1 | 4 | 2.81 |
Prem Prakash Jayaraman | 2 | 7 | 1.15 |
Dimitrios Georgakopoulos | 3 | 2554 | 580.54 |