Reliability and availability of the Internet of things

Pokorni, Slavko

doi:10.5937/vojtehg67-21363

Cited by 26 publications

(10 citation statements)

References 7 publications

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“…In the following, we have discussed the above for each requirement, namely reliability, resilience, and personalization, in order below. 1) Reliability: Reliability is the probability of a component or a system reaching specific performance standards and producing the desired output in certain environmental conditions for a specific time dura-tion [62]. In other words for IoT devices, reliability can be defined by considering the following three requirements [63].…”

Section: A Things Layermentioning

confidence: 99%

Reliable and Resilient AI and IoT-Based Personalised Healthcare Services: A Survey

Taimoor

Rehman

2022

IEEE Access

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Recent technological (e.g., IoT, 5G), and economic (e.g., UN 2030 Sustainable Development Goals) developments have transformed the healthcare sector towards more personalized and IoT-based healthcare services. These services are realized through control and monitoring applications that are typically developed using artificial intelligence (AI)/machine learning (ML) based algorithms, that play a significant role to highlight the efficiency of traditional healthcare systems. Current personalized healthcare services are dedicated in a specific environment to support technological personalization (e.g., personalized gadgets/devices). However, they are unable to consider different inter-related health conditions, leading to inappropriate diagnosis and affect sustainability and the long-term health/life of patients. Towards this problem, the state-of-the-art Healthcare 5.0 technology has evolved that supersede previous healthcare technologies. The goal of healthcare 5.0 is to achieve a fully autonomous healthcare service, that takes into account the interdependent effect of different health conditions of a patient. This paper conducts a comprehensive survey on personalized healthcare services. In particular, we first present an overview of key requirements of comprehensive personalized healthcare services (CPHS) in modern healthcare Internet of Things (HIoT), including the definition of personalization and an example use case scenario as a representative for modern HIoT. Second, we explored a fundamental three-layer architecture for IoTbased healthcare systems using both AI and non-AI-based approaches, considering key requirements for CPHS followed by their strengths and weaknesses in the frame of personalized healthcare services. Third, we highlighted different security threats against each layer of IoT architecture along with the possible AI and non-AI-based solutions. Finally, we propose a methodology to develop reliable, resilient, and personalized healthcare services that address the identified weaknesses of existing approaches.

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Section: A Things Layermentioning

confidence: 99%

Reliable and Resilient AI and IoT-Based Personalised Healthcare Services: A Survey

Taimoor

Rehman

2022

IEEE Access

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“…'IoT is defined as "Things having identities and virtual personalities operating in smart spaces using intelligent interfaces to connect and communicate within social, environmental, and user contexts" (Atzori, Iera, & Morabito, 2010). The applications related to the Internet of Things (IoT) concept are systems that utilize interconnected computer devices and data processing systems that use digital sensors to transfer data over an Internet network without requiring human intervention (Pokorni, 2019). The IoT environment is basically a collection of devices that are connected together like sensors or mobile phones.…”

Section: Internet Of Things and Tracking Systemsmentioning

confidence: 99%

Utilizing the Internet of Things in the Public Sector

Al-Sebae¹,

Abu-Shanab

2022

Journal of Information Technology Research

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This study investigated the utility of the Internet of Things in the public sector and the factors influencing the satisfaction of its users. The study followed two directions, the first investigated managers’ perceptions and their satisfaction with using sensors for tracking vehicles. The second direction investigated drivers’ satisfaction with the system used. Results collected from 20 interviews conducted with managers revealed that cost reduction and more control over drivers’ behaviors are the contributions expected from the system. They reported the dissatisfaction of drivers based on violation of their privacy, inequity of implementation, and the low awareness of its utility. Surveys collected from drivers supported the role of trust and privacy, but failed to support the role of usefulness. The qualitative and quantitative nature of this research revealed valuable insights and concluded to important recommendations and future work.

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“…Para [Pokorni 2019], o termo "confiabilidade" pode ser definido como a probabilidade de um determinado componente ou sistema satisfazer requisitos e padrões de desempenho, quando produz saídas corretas durante um determinado período de tempo. Nesse ponto de vista, a confiabilidade busca alcanc ¸ar a qualidade do sistema, buscando evitar, através de prevenc ¸ão ou tolerância, que acontec ¸am falhas ou erros no sistema.…”

Section: Confiabilidade Em Iotunclassified

Abordagem para Controle de Acesso em IoT baseado em Edge Computing com foco em Confiabilidade

Cesar

Almeida

Maia

2022

Anais Do VI Workshop De Computação Urbana (CoUrb 2022)

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A Internet das Coisas permite a integração entre diversos dispositivos e serviços computacionais presentes na Internet. Em aplicações críticas, como e-health ou edifícios inteligentes, existem requisitos específicos que devem ser considerados, como confiabilidade e privacidade no acesso às informações, dadas as restrições computacionais inerentes aos dispositivos de borda. Neste artigo, propomos uma abordagem que busca melhorar a confiabilidade em ambientes IoT, por meio do uso de técnicas de controle de acesso utilizando uma arquitetura descentralizada baseada em edge computing. Assim, o objetivo é regionalizar e otimizar a troca de dados usando uma linguagem de consulta baseada em GraphQL para reduzir a busca excessiva de dados. Apresentamos uma análise de desempenho na qual comparamos a latência e a taxa de erros em solicitações de operações em ambientes cloud e edge computing.

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Reliability and availability of the Internet of things

Cited by 26 publications

References 7 publications

Reliable and Resilient AI and IoT-Based Personalised Healthcare Services: A Survey

Reliable and Resilient AI and IoT-Based Personalised Healthcare Services: A Survey

Utilizing the Internet of Things in the Public Sector

Abordagem para Controle de Acesso em IoT baseado em Edge Computing com foco em Confiabilidade

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