The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
A Survey on Internet of Things From Industrial Market Perspective
Open accessAbstract
The Internet of Things (IoT) is a dynamic global information network consisting of Internet-connected objects, such as radio frequency identifications, sensors, and actuators, as well as other instruments and smart appliances that are becoming an integral component of the Internet. Over the last few years, we have seen a plethora of IoT solutions making their way into the industry marketplace. Context-aware communications and computing have played a critical role throughout the last few years of ubiquitous computing and are expected to play a significant role in the IoT paradigm as well. In this paper, we examine a variety of popular and innovative IoT solutions in terms of context-aware technology perspectives. More importantly, we evaluate these IoT solutions using a framework that we built around well-known context-aware computing theories. This survey is intended to serve as a guideline and a conceptual framework for context-aware product development and research in the IoT paradigm. It also provides a systematic exploration of existing IoT products in the marketplace and highlights a number of potentially significant research directions and trends.
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Cites
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Cited by
Event-triggered communication and control of networked systems for multi-agent consensus
Nowzari, C., Garcia, E., & Cortés, J. (2019) · Automatica · doi:10.1016/j.automatica.2019.03.009 · Cited by 655
Assessment of the Suitability of Fog Computing in the Context of Internet of Things
Sarkar, S., Chatterjee, S., & Misra, S. (2018) · IEEE Transactions on Cloud Computing · doi:10.1109/tcc.2015.2485206 · Cited by 638
Deploying Fog Computing in Industrial Internet of Things and Industry 4.0
Aazam, M., Zeadally, S., & Harras, K. A. (2018) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2018.2855198 · Cited by 567
Green Internet of Things for Smart World
Zhu, C., Leung, V. C. M., Shu, L., & Ngai, E. C.-H. (2015) · IEEE Access · doi:10.1109/access.2015.2497312 · Cited by 494
Fog Computing for Sustainable Smart Cities: A Survey
Perera, C., Qin, Y., Estrella, J. C., Reiff-Marganiec, S., & Vasilakos, A. V. (2018) · ACM Computing Surveys · doi:10.1145/3057266 · Cited by 459
Self-citation
Metadata
- Authors
- Perera, C., Liu, C. H., Jayawardena, S., & Chen, M.
- Venue
- IEEE Access
- Published
- 2014
- Volume
- 2
- Pages
- 1660-1679
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W2167296824
- Cited by
- 646
- References
- 3
- FWCI
- 45.70
- Type
- journal article
- Language
- en
- Open access
- gold
- Funders
- National Natural Science Foundation of China (61300179)
- International Science and Technology Collaboration Program (2014DFT10070) funded by China Ministry of Science and Technology (MOST)
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