LightIoT: Lightweight and Secure Communication for Energy-Efficient IoT in Health Informatics

Jan, Mian Ahmad; Khan, Fazlullah; Mastorakis, Spyridon; Adil, Muhammad; Akbar, Aamir; Stergiou, Nicholas

doi:10.1109/tgcn.2021.3077318

Cited by 35 publications

(16 citation statements)

References 36 publications

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“…m) QoS Challenges with data preservation: In the literature, most patient wearable IoT devices did not use symmetric and asymmetric key-based authentication algorithms because of the high computation cost and limited resources of these gadgets, which arises the QoS issues in these networks, because the researcher's designed lightweight validation schemes [58]- [60] to address the security concern, but they overlooked the QoS concerns [61], [62]. In the turn of dependable operation, these devices demand certain routing protocols in the coordination of lightweight authentication models to enhances their productivity.…”

Section: Qos Challenges With Improved Securitymentioning

confidence: 99%

QoS Review: Smart Sensing in Wake of COVID-19, Current Trends and Specifications With Future Research Directions

Adil¹,

Alshahrani

Rajab

et al. 2023

IEEE Sensors J.

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Smart Sensing has shown notable contributions in the healthcare industry and revamps immense advancement. With this, the present smart sensing applications such as the Internet of Medical Things (IoMT) applications are elongated in the COVID-19 outbreak to facilitate the victims and alleviate the extensive contamination frequency of this pathogenic virus. Although, the existing IoMT applications are utilized productively in this pandemic, but somehow, the Quality of Service (QoS) metrics are overlooked, which is the basic need of these applications followed by patients, physicians, nursing staff, etc. In this review article, we will give a comprehensive assessment of the QoS of IoMT applications used in this pandemic from 2019 to 2021 to identify their requirements and current challenges by taking into account various network components and communication metrics. To claim the contribution of this work, we explored layer-wise QoS challenges in the existing literature to identify particular requirements, and set the footprint for future research. Finally, we compared each section with the existing review articles to acknowledge the uniqueness of this work followed by the answer of a question why this survey paper is needed in the presence of current state-of-the-art review papers. Index Terms-Smart sensing, QoS of IoMT, IoMT applications in COVID-19, QoS requirements, QoS challenges, routing protocols. I. INTRODUCTIONC OVID-19 is an infectious and transmittable virus that can provoke penetrating respiratory syndrome in humans [1]. This virus has been spread all over the globe and infected 437,792,328 individuals, followed by 5,978,217 fatalities and 369,500,307 recovered cases by March 1, 2022 [2]. The research community believes that COVID-19 infection rates Manuscript

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Section: Qos Challenges With Improved Securitymentioning

confidence: 99%

QoS Review: Smart Sensing in Wake of COVID-19, Current Trends and Specifications With Future Research Directions

Adil¹,

Alshahrani

Rajab

et al. 2023

IEEE Sensors J.

Self Cite

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“…However, due to the vulnerability of these wearable devices' data transmissions, privacy and integrity need to be protected. Jan et al [307] presented a lightweight and secure communication approach for data exchanged among the devices of healthcare infrastructure. Alam et al [308] affirmed that being physically, mentally, and socially healthy can all be enhanced by a healthy living environment and introduced an ambient assisted living framework for predicting the emergency state of psychiatric.…”

Section: Remote Healthcarementioning

confidence: 99%

Smart Homes and Families to Enable Sustainable Societies: A Data-Driven Approach for Multi-Perspective Parameter Discovery using BERT Modelling

Alqahtani¹,

Janbi²,

Sharaf³

et al. 2022

Preprint

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Technological advancements and innovations have profoundly changed the lives of people giving rise to smart environments, cities, and societies. As homes are the building block of cities and societies, smart homes are critical to establishing smart living and are expected to play a key role in enabling smart cities and societies. The current academic literature and commercial advancements on smart homes have mainly focused on developing and providing smart functions for homes to provide security management and facilitate the residents in their various activities such as ambiance management. Homes are much more than physical structures, buildings, appliances, operational machines, and systems. Homes are composed of families and are inherently complex phenomena underlined by humans and their relationships with each other, subject to individual, intragroup, intergroup, and intercommunity goals. There is a clear need to understand, define, consolidate existing research, and actualize the overarching roles of smart homes, the roles of smart homes that would serve the needs of future smart cities and societies. This paper introduces our data-driven parameter discovery methodology and uses it to provide, for the first time, an extensive, rather fairly comprehensive, analysis of the families and homes landscape seen through the eyes of academics and the public using over a hundred thousand research papers and nearly a million tweets. We develop a methodology using deep learning, natural language processing (NLP), and big data analytics methods and apply it to automatically discover parameters that capture a comprehensive knowledge and design space of smart families and homes comprising social, political, economic, environmental, and other dimensions. The 66 discovered parameters and the knowledge space comprising 100s of dimensions are explained by reviewing and referencing over 300 articles from the academic literature and tweets. The knowledge and parameters discovered in this paper can be used to develop a holistic understanding of matters related to families and homes facilitating the development of better, community-specific, policies, technologies, solutions, and industries for families and homes, leading to strengthening families and homes, and in turn, empowering sustainable societies across the globe.

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“…To explore, they have been used in many disease detection and prevention processes that range from general to complex [2]. To satisfy the needs of clients (patients), supporting staff, physicians, family members, pharmacologists, etc, a reliable and secure communication infrastructure is required to be developed for these applications that could be capable to meet the Quality of Service (QoS) standards followed by the security protocols [3]. As mention, every parameter has its own advantages and consequences in these networks, but security is one of those problems, which have a direct link to all stakeholders' trust.…”

Section: Introductionmentioning

confidence: 99%

Survey: Self-Empowered Wireless Sensor Networks Security Taxonomy, Challenges, and Future Research Directions

Adil

Menon²,

Balasubramanian

et al. 2023

IEEE Sensors J.

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LightIoT: Lightweight and Secure Communication for Energy-Efficient IoT in Health Informatics

Cited by 35 publications

References 36 publications

QoS Review: Smart Sensing in Wake of COVID-19, Current Trends and Specifications With Future Research Directions

QoS Review: Smart Sensing in Wake of COVID-19, Current Trends and Specifications With Future Research Directions

Smart Homes and Families to Enable Sustainable Societies: A Data-Driven Approach for Multi-Perspective Parameter Discovery using BERT Modelling

Survey: Self-Empowered Wireless Sensor Networks Security Taxonomy, Challenges, and Future Research Directions

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