The Integration of WoT and Edge Computing: Issues and Challenges

Anees, Tayyaba; Habib, Qaiser; Al-Shamayleh, Ahmad Sami; Khalil, Wajeeha; Obaidat, Muath; Akhunzada, Adnan

doi:10.3390/su15075983

Cited by 15 publications

(4 citation statements)

References 98 publications

(87 reference statements)

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“…This is of significant importance in a context like Kim et al [7] in which consumers had devices available to them, but not everybody used them to the same extent and for the same purpose. Because smart technology has significant implications for energy conservation and the efficient use of resources [9,44], understanding the adoption of digital assistants and how it depends on the intended use of the device is vital to the implementation of energy-saving programs and interventions that use smart technologies in residential homes.…”

Section: Discussionmentioning

confidence: 99%

The Adoption and Use of Smart Assistants in Residential Homes: The Matching Hypothesis

Johnson

2023

Sustainability

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An increasing number of residential homes are equipped with smart assistants such as Cortana, Alexa, and Siri. Adoption rates and the frequency of the usage of smart assistants vary across users and residential homes. Building on the theory of uses and gratifications (UGT) and the unified theory of acceptance and use of technology 2 (UTAUT2), the objective of this paper was to examine whether the intended use of a digital assistant would moderate the effects of performance expectancy and hedonic motivation on its adoption. Two experiments (N = 345 and N = 351) tested the hypothesis that, for utilitarian purposes, devices with high performance appraisal are preferred, whereas for entertainment purposes, devices with high hedonic appraisal are preferred. The experiments manipulated the performance expectancy and hedonic motivation towards several digital assistants by varying how the assistants were introduced. Participants were asked which assistant they would choose for a variety of utilitarian and entertainment purposes. As expected, the experiments supported the proposed matching hypothesis, revealing that the devices that were high in performance appraisal were preferred for utilitarian tasks, whereas the devices high in hedonic appraisal were preferred for entertainment needs. These results suggest that a device’s introduction can change people’s perceptions of the device and subsequently their decision to use it.

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Section: Discussionmentioning

confidence: 99%

The Adoption and Use of Smart Assistants in Residential Homes: The Matching Hypothesis

Johnson

2023

Sustainability

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“…Interoperability issues: The integration of various technologies in microgrid digitalization can lead to interoperability issues [268][269][270]. Interoperability refers to the ability of different systems to work together seamlessly.…”

Section: Barriers and Challenges In Digitalization Of Mgsmentioning

confidence: 99%

Digital Transformation of Microgrids: A Review of Design, Operation, Optimization, and Cybersecurity

Irmak

Kabalcı

2023

Energies

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This paper provides a comprehensive review of the future digitalization of microgrids to meet the increasing energy demand. It begins with an overview of the background of microgrids, including their components and configurations, control and management strategies, and optimization techniques. It then discusses the key digital technologies that can be used to improve the performance of microgrids, including distributed energy resources management systems, the Internet of Things, big data analytics, blockchain technology, artificial intelligence, digital twin technology, cloud computing, and augmented reality. The paper also highlights the importance of cybersecurity in microgrids, identifying the potential security vulnerabilities and threats to microgrid cybersecurity, as well as strategies for addressing these challenges. Finally, the paper discusses the barriers and challenges regarding the digitalization of microgrids, including technical complexity, high implementation costs, regulatory barriers, data privacy and security concerns, lack of standardization, interoperability issues, limited technical expertise, and integration with the main grid. Overall, this paper demonstrates the significant potential for digital technologies to transform the future of microgrids. By leveraging advanced technologies and implementing effective cybersecurity measures, microgrids can become more efficient, reliable, and resilient, enabling them to meet the growing demand for energy and contribute to a sustainable energy future.

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“…Our approach to IoT resiliency features ideas from edge computing, which has seen several interesting works in recent years. Anees et al [25] discusses edge computing and how it can benefit IoT (to be more specific, WoT, or Web of Things). The paper mentions the benefits outside of resiliency (which we are aiming for, long term, in our work) -improved bandwidth, minimized latency, lower energy, and lower cost.…”

Section: Resilient Iot Networkmentioning

confidence: 99%

Detecting Application-Level Associations Between IoT Devices Using a Modified Apriori Algorithm

Aceron,

Teves,

Tan

2023

Comput. Networks Commun.

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Internet of Things (IoT) for home systems enables new functionalities and results in significant conveniences. However, their reliance on a stable, continuous Internet connectivity reduces their overall reliability. Losing connectivity to the Internet, for many of these devices, translates to the cessation of even the most basic of functionalities (e.g., being able to turn on the light, even from within the house). A possible solution to this problem is to shift some functionalities done by cloud-based servers to the edge (e.g. the home router), but doing so conveniently would necessitate the ability to dynamically identify pairs of IoT devices (usually sensor-actuator pairs) that communicate (their associations), and the rewriting/rerouting of packets or messages between those devices. The first problem is also known as the association detection problem, and is where this paper makes a contribution. We describe a solution to the association detection problem using a modified Apriori algorithm and a method to create its input from network traffic, and then revise the solution to respond to fluctuating network conditions. The final design accurately discovers sensor-actuator pairs using a simple approach with low computational complexity, and with only the hardware addresses of monitored IoT devices as its starting knowledge.

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The Integration of WoT and Edge Computing: Issues and Challenges

Cited by 15 publications

References 98 publications

The Adoption and Use of Smart Assistants in Residential Homes: The Matching Hypothesis

The Adoption and Use of Smart Assistants in Residential Homes: The Matching Hypothesis

Digital Transformation of Microgrids: A Review of Design, Operation, Optimization, and Cybersecurity

Detecting Application-Level Associations Between IoT Devices Using a Modified Apriori Algorithm

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