Framework for dependable and pervasive eHealth services

Celentano, Ulrico; Röning, Juha

doi:10.1109/wf-iot.2015.7389128

Cited by 5 publications

(3 citation statements)

References 21 publications

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“…Celentano presented a concept by focusing on the peculiarities of pervasive Internet of things e-Health services [3]. Protect sensitive data and their transmission in the health sector are big challenges.…”

Section: Methodsmentioning

confidence: 99%

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E-Health Information System: Ensuring a High Level of Availability by Implementing Replication, Backup & Restoration Procedures

malhi¹,

Ahd²,

Mokhtari³

et al. 2017

JCC

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Abstract:In a previous study, we suggested an information system to store, manage and treat millions of gathered patient's information. The application is able to fulfill the most important criterions, mainly measurement, monitoring, guidance, Data management and their analysis. The developed e-Health system can be accessed via the Internet. Availability, confidentiality and security issues arise that have to be considered carefully. The highest level of availability of these services is required. The main objective of this paper is to improve and enhance the both aspects of an information system: availability and reliability. The information system should be reachable constantly to satisfy the professional requirements. Today, the new technologies could help to resolve some infrastructure and connection problems. Connected machines are increasingly being introduced into safety-critical health care systems. Concretely in this study, we introduced replication, backup and restoration procedures to obtain a safe and continuous data management system in order to guarantee a highly reliable concept. By integrating the new technologies, we profited from the innovative connection utility-Internet of things -, which offers several possibilities to ensure the continued and desirable service. By implementing a distributed information system, we were able to increase the percentage of uptime to 99.8% (down time less than 20 mins/week). The vulnerability and the penetration tests were also successful and demonstrate the efficiency of the implemented redundancy, replication and restoration procedures.

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Section: Methodsmentioning

confidence: 99%

“…and/or remote connectivity (cellular, satellite, etc.). An important problem is to ensure smooth coexistence of all these concurrent radio technologies, avoiding any form of interference in uncontrolled, heterogeneous operating environments [3].…”

mentioning

confidence: 99%

E-Health Information System: Ensuring a High Level of Availability by Implementing Replication, Backup & Restoration Procedures

malhi¹,

Ahd²,

Mokhtari³

et al. 2017

JCC

View full text Add to dashboard Cite

show abstract

“…On the other hand, the IoT is presently the object of significant research as it will be implemented on a large scale within the next decade or so. Presently, several investigations have developed IoT applications for natural disasters [ 34 , 35 ], generalized and specialized industries [ 36 , 37 , 38 ], smart homes [ 39 , 40 , 41 ], medicine [ 42 , 43 , 44 ], agriculture [ 45 , 46 , 47 ], urban planning and intelligent cities [ 48 , 49 , 50 ] and the design of Intelligent Transport Systems (ITS) [ 51 , 52 , 53 ]. In the fields of ITS and smart cities, allowing vehicles to be interconnected, forming vehicular ad-hoc networks (VANETs), has enormous applications related to safety, internet connectivity, entertainment, file transfer and importantly, the detection and avoidance of dangerous or problematic traffic conditions [ 54 ].…”

Section: Related Workmentioning

confidence: 99%

Traffic Congestion Detection System through Connected Vehicles and Big Data

Cárdenas-Benítez

Aquino-Santos

Magaña-Espinoza³

et al. 2016

Sensors

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This article discusses the simulation and evaluation of a traffic congestion detection system which combines inter-vehicular communications, fixed roadside infrastructure and infrastructure-to-infrastructure connectivity and big data. The system discussed in this article permits drivers to identify traffic congestion and change their routes accordingly, thus reducing the total emissions of CO2 and decreasing travel time. This system monitors, processes and stores large amounts of data, which can detect traffic congestion in a precise way by means of a series of algorithms that reduces localized vehicular emission by rerouting vehicles. To simulate and evaluate the proposed system, a big data cluster was developed based on Cassandra, which was used in tandem with the OMNeT++ discreet event network simulator, coupled with the SUMO (Simulation of Urban MObility) traffic simulator and the Veins vehicular network framework. The results validate the efficiency of the traffic detection system and its positive impact in detecting, reporting and rerouting traffic when traffic events occur.

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Assistive IoT: Deployment Scenarios and Challenges

Shahrestani

2017

Internet of Things and Smart Environments

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Framework for dependable and pervasive eHealth services

Cited by 5 publications

References 21 publications

E-Health Information System: Ensuring a High Level of Availability by Implementing Replication, Backup & Restoration Procedures

E-Health Information System: Ensuring a High Level of Availability by Implementing Replication, Backup & Restoration Procedures

Traffic Congestion Detection System through Connected Vehicles and Big Data

Assistive IoT: Deployment Scenarios and Challenges

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