A Survey on Internet of Things From Industrial Market Perspective

By Charith Perera, Chi Harold Liu, Srimal Jayawardena, Min Chen. IEEE Access, 2015

621 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, 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.

Subfields: Computer Networks and Communications, Computer Science Applications, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/b38da34a1687dfb2dbd162a47e163e5de715b44d

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Citations in the corpus

Role of IoT Technology in Agriculture: A Systematic Literature Review (2020, background): “Whereas, in [149], three methods have been proposed through which interoperability can also be obtained, which are (i) two standards open and close, (ii) partnership among services and product developers, and (iii) mediator and adaptors services.”
Fog Computing for Sustainable Smart Cities (2017, methodology): “According to the literature comparison presented in Table III, context discovery and awareness [Perera et al. 2014a] and semantic annotation is fairly ignored.”
An Overview of Internet of Things (IoT) and Data Analytics in Agriculture: Benefits and Challenges (2018, methodology): “According to [116], interoperability can be achieved using three methods which are: 1) partnerships among product and service developers; 2) open and close standards, and 3) adap-”
Internet of Things (IoT), Applications and Challenges: A Comprehensive Review (2020, background): “Context-Aware computing theories, evaluation framework, and communication mediums have been discussed [100].”
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.”
Deploying Fog Computing in Industrial Internet of Things and Industry 4.0 (2018, background): “including healthcare, education, transportation, manufacturing, and retail are already generating 76% of the total radio frequency identification (RFID) market demand [5].”
Survey on Multi-Access Edge Computing for Internet of Things Realization (2018, background): “efits such as improving connectivity, efficiency, scalability, time savings, as well as cost savings for manufacturing processes with the maximum use of smart machines [92], [94].”
Edge-computing-driven Internet of Things: A Survey (2022, background): “IIoT provides many beneits, such as improving operational eiciency, connectivity, and scalability, and saving the time cost for manufacturing processes [133].”
The Role of Big Data Analytics in Industrial Internet of Things (2019, neutral): “…concepts related to adoption of IIoTs [34, 35], the integration of IIoTs and edge cloud computing systems [36], industrial marketplaces for IIoTs [4], big data and virtualisation technologies for IIoT systems [37], technological advancements relevant to CPS in IIoT systems [38], smart…”
Event-triggered communication and control of networked systems for multi-agent consensus (2017, background): “However, as IoT devices aim to support services and applications that interact with the physical world, large numbers of these devices need to be deployed and work reliably with minimal human intervention (Perera, Liu, Jayawardena and Chen, 2014).”
Assessment of the Suitability of Fog Computing in the Context of Internet of Things (2018, background): “Thus, by 2020, it is estimated that a large number of applications will be required to be processed and served through the technology of IoT [14], [15].”
A review of industrial wireless networks in the context of Industry 4.0 (2015, background): “Meanwhile, received signals experience path loss and reflection interference based on the characteristics of wireless-wave propagation, resulting in wireless nodes with limited transmission distance [60].”
Industrial Internet: A Survey on the Enabling Technologies, Applications, and Challenges (2017, methodology): “The concept of smart manufacturing is based on the integration of both CPS and IIoT concepts [134].”
City Data Fusion: Sensor Data Fusion in the Internet of Things (2015, background): “During the past decade, the Internet of Things (IoT) has gained significant attention in academia as well as industry [56].”