A real IoT device deployment for e-Health applications under lightweight communication protocols, activity classifier and edge data filtering

Santamaria, Amilcare Francesco; Rango, Floriano De; Serianni, Abdon; Raimondo, Pierfrancesco

doi:10.1016/j.comcom.2018.06.010

Cited by 47 publications

(19 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…A typical architecture of IoMT monitoring devices involves sensors connected directly to the human body. In custom solutions such as [72,73], Arduino modules are used to gather medical data from the sensors [12,13,64,[68][69][70]98]. Figure 2 illustrates the communications among various monitoring devices such as wearable sensors and ingestibles.…”

Section: Physiologic Monitoring Devicesmentioning

confidence: 99%

Security in IoMT Communications: A Survey

Koutras

Stergiopoulos

Dasaklis

et al. 2020

Sensors

105

View full text Add to dashboard Cite

The Internet of Medical Things (IoMT) couples IoT technologies with healthcare services in order to support real-time, remote patient monitoring and treatment. However, the interconnectivity of critical medical devices with other systems in various network layers creates new opportunities for remote adversaries. Since most of the communication protocols have not been specifically designed for the needs of connected medical devices, there is a need to classify the available IoT communication technologies in terms of security. In this paper we classify IoT communication protocols, with respect to their application in IoMT. Then we describe the main characteristics of IoT communication protocols used at the perception, network and application layer of medical devices. We examine the inherent security characteristics and limitations of IoMT-specific communication protocols. Based on realistic attacks we identify available mitigation controls that may be applied to secure IoMT communications, as well as existing research and implementation gaps.

show abstract

Section: Physiologic Monitoring Devicesmentioning

confidence: 99%

Security in IoMT Communications: A Survey

Koutras

Stergiopoulos

Dasaklis

et al. 2020

Sensors

105

View full text Add to dashboard Cite

show abstract

“…This data is also helpful for the appropriate decision‐making process. Moreover, IoT could better support with lower costs e‐Health care services such as presented in [23] where an e‐Health application context has been considered.…”

Section: Key Role Of Ict Technologiesmentioning

confidence: 99%

COVID‐19 in Italy: current state, impact and ICT‐based solutions

Tropea

Rango

2020

IET Smart Cities

Self Cite

View full text Add to dashboard Cite

In this work, the impact of the Coronavirus disease 2019 (COVID-19) virus in Italy is presented. This pandemic disease determined a crisis and national emergency in all parts of the world. A short vision of measures taken by the Italian Government with a view on information and communication technologies (ICT) that could allow a better management of the pandemic and a faster recovery from the national crisis is provided. The Italian lockdown has strict implications for the society from an economical, mental-health and social points of view. Novel information and communication technologies (ICT) could mitigate the impact of COVID-19 outbreak allowing novel ways to learn, to teach, to work and to live. Some insights on Internet of Things, smart tracing and tracking solutions are summarised. Moreover, some statistics on the network traffic and learning platforms used in this lockdown period are presented.

show abstract

“…However, this mechanism has not solved the traffic concentration due to the rendezvous point, and it is not effective in situations with few subscribers. Santamaria [42] proposed a way to reduce the serving time of the system by using the data filter applied to the server and the MQTT protocol to process a lot of data of the ioT devices used in the e-Health system. However, this proposal cannot reduce the data transfer delay from the publishing device to the server because there is no improvement of the MQTT protocol.…”

Section: Related Workmentioning

confidence: 99%

Dependable Fire Detection System with Multifunctional Artificial Intelligence Framework

Park

Lee

Yun

et al. 2019

Sensors

View full text Add to dashboard Cite

A fire detection system requires accurate and fast mechanisms to make the right decision in a fire situation. Since most commercial fire detection systems use a simple sensor, their fire recognition accuracy is deficient because of the limitations of the detection capability of the sensor. Existing proposals, which use rule-based algorithms or image-based machine learning can hardly adapt to the changes in the environment because of their static features. Since the legacy fire detection systems and network services do not guarantee data transfer latency, the required need for promptness is unmet. In this paper, we propose a new fire detection system with a multifunctional artificial intelligence framework and a data transfer delay minimization mechanism for the safety of smart cities. The framework includes a set of multiple machine learning algorithms and an adaptive fuzzy algorithm. In addition, Direct-MQTT based on SDN is introduced to solve the traffic concentration problems of the traditional MQTT. We verify the performance of the proposed system in terms of accuracy and delay time and found a fire detection accuracy of over 95%. The end-to-end delay, which comprises the transfer and decision delays, is reduced by an average of 72%.

show abstract

A real IoT device deployment for e-Health applications under lightweight communication protocols, activity classifier and edge data filtering

Cited by 47 publications

References 18 publications

Security in IoMT Communications: A Survey

Security in IoMT Communications: A Survey

COVID‐19 in Italy: current state, impact and ICT‐based solutions

Dependable Fire Detection System with Multifunctional Artificial Intelligence Framework

Contact Info

Product

Resources

About