Issues and challenges in healthcare narrowband IoT

Anand, Sharath; Routray, Sudhir K.

doi:10.1109/icicct.2017.7975247

Cited by 68 publications

(25 citation statements)

References 9 publications

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“…Fernandez and Pallis outlined other non-functional requirements in [205] including stability, availability, extensibility, portability, and accessibility. Anand and Routray [204] also note that high-power radiation can potentially harm human tissue, and any healthcare sensors should seek to minimize this harm.…”

Section: K Healthcarementioning

confidence: 99%

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Low-Power Wide-Area Networks: Design Goals, Architecture, Suitability to Use Cases and Research Challenges

et al. 2020

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Previous survey articles on Low-Powered Wide-Area Networks (LPWANs) lack a systematic analysis of the design goals of LPWAN and the design decisions adopted by various commercially available and emerging LPWAN technologies, and no study has analysed how their design decisions impact their ability to meet design goals. Assessing a technology's ability to meet design goals is essential in determining suitable technologies for a given application. To address these gaps, we have analysed six prominent design goals and identified the design decisions used to meet each goal in the eight LPWAN technologies, ranging from technical consideration to business model, and determined which specific technique in a design decision will help meet each goal to the greatest extent. System architecture and specifications are presented for those LPWAN solutions, and their ability to meet each design goal is evaluated. We outline seventeen use cases across twelve domains that require large low power network infrastructure and prioritise each design goal's importance to those applications as Low, Moderate, or High. Using these priorities and each technology's suitability for meeting design goals, we suggest appropriate LPWAN technologies for each use case. Finally, a number of research challenges are presented for current and future technologies. INDEX TERMS Low power wide area network (LPWAN), Internet of Things (IoT), design goals, MAC layer, channel access, long range, scalability, data rate, licensed and unlicensed band, operational lifetime.

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Section: K Healthcarementioning

confidence: 99%

“…NB-IoT is recommended for healthcare systems by Anand and Routray [204] because of its low power consumption, low bandwidth, and previously mentioned safety to human tissue. The authors also state that the clever use of upperlayer protocols is required to give NB-IoT sufficient performance for real-time health monitoring.…”

Section: K Healthcarementioning

confidence: 99%

Low-Power Wide-Area Networks: Design Goals, Architecture, Suitability to Use Cases and Research Challenges

et al. 2020

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“…Usually, system resources available for an IoT device is minimal, some only 8bit. Hence, it makes it difficult to program more sophisticated security features in it and make it easy for hackers to target it and elicit confidential information from it [13].…”

Section: ) Confidentialitymentioning

confidence: 99%

A Conceptual Model for Internet of Things Risk Assessment in Healthcare Domain with Deep Learning Approach

et al. 2020

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The Internet of Things (IoT) has become a prevalent technology in the IT industry. One of the industries that can benefit extensively in this technology is healthcare. However, the healthcare IoT is still under debate with several studies suggesting it is lack of interoperability, security, and too much complexity. Even more, the risk involved in deploying it is still enormous. Many traditional risk assessment models are unable to provide a specific IoT risk guideline and specification, especially in the healthcare area. Thus, it is essential to understand the full extent of the IoT risk and how to manage its risk in the healthcare area. The risk management models, such as NIST SP 800-30, ISO/IEC 27005, OCTAVE, CRAMM, and EBIOS, which are among the leading and widely used in many areas and healthcare fields, have also been described. Besides, this paper includes a review of three IoT risk assessment models that are based on ABA-IDS, Deep Learning, and AHP-SVM. Based on the review analysis, we proposed a new enhanced healthcare IoT risk assessment model, which aims to provide a real-time monitoring and mitigating risks that incorporate the NIST SP 800-30 framework, ABA-IDS, and CNN deep learning. This shall constitute a better classification of each risk identified to find the best risk mitigation plan.

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“…For example, the authors in [50] proposed an architecture using NB-IoT to connect intelligent objects in a smart hospital environment. Another study [51] investigated the performance of NB-IoT in health care, while NB-IoT challenges and issues are discussed in [52,53].…”

Section: Lpwan Communication Systems In Wbansmentioning

confidence: 99%

A Survey on LPWAN Technologies in WBAN for Remote Health-Care Monitoring

Olatinwo

Abu‐Mahfouz

Hancke

2019

Sensors

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In ubiquitous health-care monitoring (HCM), wireless body area networks (WBANs) are envisioned as appealing solutions that may offer reliable methods for real-time monitoring of patients’ health conditions by employing the emerging communication technologies. This paper therefore focuses more on the state-of-the-art wireless communication systems that can be explored in the next-generation WBAN solutions for HCM. Also, this study addressed the critical issues confronted by the existing WBANs that are employed in HCM. Examples of such issues include wide-range health data communication constraint, health data delivery reliability concern, and energy efficiency, which are attributed to the limitations of the legacy short range, medium range, and the cellular technologies that are typically employed in WBAN systems. Since the WBAN sensor devices are usually configured with a finite battery power, they often get drained during prolonged operations. This phenomenon is technically exacerbated by the fact that the legacy communication systems, such as ZigBee, Bluetooth, 6LoWPAN, and so on, consume more energy during data communications. This unfortunate situation offers a scope for employing suitable communication systems identified in this study to improve the productivity of WBANs in HCM. For this to be achieved, the emerging communication systems such as the low-power wide-area networks (LPWANs) are investigated in this study based on their power transmission, data transmission rate, data reliability in the context of efficient data delivery, communication coverage, and latency, including their advantages, as well as disadvantages. As a consequence, the LPWAN solutions are presented for WBAN systems in remote HCM. Furthermore, this research work also points out future directions for the realization of the next-generation of WBANs, as well as how to improve the identified communication systems, to further enhance their productivity in WBAN solutions for HCM.

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Issues and challenges in healthcare narrowband IoT

Cited by 68 publications

References 9 publications

Low-Power Wide-Area Networks: Design Goals, Architecture, Suitability to Use Cases and Research Challenges

Low-Power Wide-Area Networks: Design Goals, Architecture, Suitability to Use Cases and Research Challenges

A Conceptual Model for Internet of Things Risk Assessment in Healthcare Domain with Deep Learning Approach

A Survey on LPWAN Technologies in WBAN for Remote Health-Care Monitoring

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