The Emerging Internet of Things Marketplace From an Industrial Perspective: A Survey
By Charith Perera, Chi Harold Liu, Srimal Jayawardena. IEEE Transactions on Emerging Topics in Computing, 2015
518 citations recorded by the source corpus.
The Internet of Things (IoT) is a dynamic global information network consisting of Internet-connected objects, such as Radio frequency identifications, sensors, actuators, as well as other instruments and smart appliances that are becoming an integral component of the future Internet. Over the last decade, we have seen a large number of the IoT solutions developed by start-ups, small and medium enterprises, large corporations, academic research institutes (such as universities), and private and public research organizations making their way into the market. In this paper, we survey over one hundred IoT smart solutions in the marketplace and examine them closely in order to identify the technologies used, functionalities, and applications. Based on the application domain, we classify and discuss these solutions under five different categories: 1) smart wearable; 2) smart home; 3) smart city; 4) smart environment; and 5) smart enterprise. This survey is intended to serve as a guideline and a conceptual framework for future research in the IoT and to motivate and inspire further developments. It also provides a systematic exploration of existing research and suggests a number of potentially significant research directions.
Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems
View Paper: https://www.semanticscholar.org/paper/aeaa7d428f514d6d36c1c96f3c7545ba1ea77898
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Madhusanka Liyanage
- Pawani Porambage
- Mika E. Ylianttila
- Athanasios V. Vasilakos
- Yongrui Qin
- Stephan Reiff-Marganiec
- Júlio Cezar Estrella
- Erdogan Dogdu
In Computer Vision and Pattern Recognition
- Omer Berat Sezer
- A. Ozbayoglu
- Athanasios V. Vasilakos
- Madhusanka Liyanage
- Yongrui Qin
- Stephan Reiff-Marganiec
- Júlio Cezar Estrella
- Charith Perera
In Information Systems
- Yongrui Qin
- Athanasios V. Vasilakos
- Stephan Reiff-Marganiec
- Júlio Cezar Estrella
- Charith Perera
- R. Ranjan
- Madhusanka Liyanage
- Mika E. Ylianttila
Citations in the corpus
- A comprehensive review of big data analytics throughout product lifecycle to support sustainable smart manufacturing: A framework, challenges and future research directions (2019, methodology): “The development of information technologies, such as IoT (Perera et al., 2015), SOT (Demirkan et al.”
- A Comprehensive Survey on Fog Computing: State-of-the-Art and Research Challenges (2017, background): “For instance, Industrial IoT solutions [159] usually require low-latency ingestion but immediate processing of data [160].”
- Survey on Multi-Access Edge Computing for Internet of Things Realization (2018, background): “the agricultural sector will require some major evolution where IoT will be integrated in various production, management, and analytical processes [77], [78].”
- The Role of Big Data Analytics in Industrial Internet of Things (2019, unknown): “Although IIoT [19–24] and BDA [13, 25–31] have been widely studied separately, only a few studies including [32] have explored the convergence of the two domains.”
- A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art (2019, unknown): “nized Agriculture with IoT: IoT emerging the use of low-cost hardware (sensors/microcontrollers) and 5G communication technologies has opened new era for cultivating soil, namely “smart agricultural” [256], [257]. MEC-enabled IoT can offer advanced abilities for smart agricultural, e.g., predictive ”
- Context-Aware Computing, Learning, and Big Data in Internet of Things: A Survey (2018, background): “References [19], [20], and [65] surveyed existing IoT platforms, frameworks, systems, prototypes, middleware, and different approaches.”
- Internet of Things and Big Data as enablers for business digitalization strategies (2020, background): “By collecting and analyzing such vast amounts of data, scholars can bolster their efforts to understand and predict consumer behavior (Lo and Campos, 2018; Pigni et al., 2016).”
- City Data Fusion: Sensor Data Fusion in the Internet of Things (2015, background): “As we discussed in earlier sections, IoT would produce substantial amount of data [55] that are less useful unless we are able to derive knowledge using them.”
- Fog Computing for Sustainable Smart Cities (2017, methodology): “These sensors will have a wide range of sensing capabilities [Perera et al. 2015a].”
- Future Trends and Current State of Smart City Concepts: A Survey (2020, background): “IoT covers Internet-based technologies together with user needs or user applications, which means with IoT devices, even larger concepts of automation systems could be controlled based on the priorities of the users [79], [80].”
- Industrial Communication Systems and Their Future Challenges: Next-Generation Ethernet, IIoT, and 5G (2019, background): “Also, data sets have to be effectively accessed, ideally from anywhere, via several types of devices, such as Tablet PCs, smartphones, and personal computers [8], [9].”