Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2016 Jul 11;16(7):1069.
doi: 10.3390/s16071069.

Internet of Things: A Review of Surveys Based on Context Aware Intelligent Services

Affiliations
Review

Internet of Things: A Review of Surveys Based on Context Aware Intelligent Services

David Gil et al. Sensors (Basel). .

Abstract

The Internet of Things (IoT) has made it possible for devices around the world to acquire information and store it, in order to be able to use it at a later stage. However, this potential opportunity is often not exploited because of the excessively big interval between the data collection and the capability to process and analyse it. In this paper, we review the current IoT technologies, approaches and models in order to discover what challenges need to be met to make more sense of data. The main goal of this paper is to review the surveys related to IoT in order to provide well integrated and context aware intelligent services for IoT. Moreover, we present a state-of-the-art of IoT from the context aware perspective that allows the integration of IoT and social networks in the emerging Social Internet of Things (SIoT) term.

Keywords: big data; cloud computing; data mining with big data; internet of things; ontology; semantics; services for big data; social internet of things.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Illustration of data acquisition equipment in IoT.
Figure 2
Figure 2
IoT application domains.
Figure 3
Figure 3
Overall architecture for IoT deployments and Applications.

References

    1. Chen M., Mao S., Liu Y. Big data: A survey. Mob. Netw. Appl. 2014;19:171–209. doi: 10.1007/s11036-013-0489-0. - DOI
    1. Sagiroglu S., Sinanc D. Big data: A review; Proceedings of the 2013 International Conference on Collaboration Technologies and Systems (CTS); San Diego, CA, USA. 20–24 May 2013; pp. 42–47.
    1. Armbrust M., Fox A., Griffith R., Joseph A.D., Katz R., Konwinski A., Lee G., Patterson D., Rabkin A., Stoica I. A view of cloud computing. Commun. ACM. 2010;53:50–58. doi: 10.1145/1721654.1721672. - DOI
    1. Sundmaeker H., Guillemin P., Friess P., Woelfflé S. Vision and Challenges for Realising the Internet of Things. European Commission; Brussels, Belgium: 2010.
    1. Zaslavsky A., Perera C., Georgakopoulos D. Sensing as a Service and Big Data; Proceedings of the International Conference on Advances in Cloud Computing (ACC); Bangalore, India. 26–28 July 2012.