An Edge-Based Architecture to Support Efficient Applications for Healthcare Industry 4.0

By Pasquale Pace, Gianluca Aloi, Raffaele Gravina, Giuseppe Caliciuri, Giancarlo Fortino, Antonio Liotta. IEEE Transactions on Industrial Informatics, 2019

305 citations recorded by the source corpus.

Edge computing paradigm has attracted many interests in the last few years as a valid alternative to the standard cloud-based approaches to reduce the interaction timing and the huge amount of data coming from Internet of Things (IoT) devices toward the Internet. In the next future, Edge-based approaches will be essential to support time-dependent applications in the Industry 4.0 context; thus, the paper proposes BodyEdge, a novel architecture well suited for human-centric applications, in the context of the emerging healthcare industry. It consists of a tiny mobile client module and a performing edge gateway supporting multiradio and multitechnology communication to collect and locally process data coming from different scenarios; moreover, it also exploits the facilities made available from both private and public cloud platforms to guarantee a high flexibility, robustness, and adaptive service level. The advantages of the designed software platform have been evaluated in terms of reduced transmitted data and processing time through a real implementation on different hardware platforms. The conducted study also highlighted the network conditions (data load and processing delay) in which BodyEdge is a valid and inexpensive solution for healthcare application scenarios.

Subfields: Biomedical Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/d842d7ba35c7dda883004fce6aeaeb7f0eb31d44

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In Biomedical Engineering

In Computer Networks and Communications

In Computer Vision and Pattern Recognition

Citations in the corpus

A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art (2019, unknown): “A concise tutorial of three edge computing technologies including MEC, cloudlets, and fog computing.”
Deep Learning for Multigrade Brain Tumor Classification in Smart Healthcare Systems: A Prospective Survey (2020, background): “[124] proposed “BodyEdge,” a framework for supporting healthcare applications in industry 4.”
The Future of Healthcare Internet of Things: A Survey of Emerging Technologies (2020, unknown): “These claims are veriﬁed from the results obtained from two case studies presented by authors in [144] who propose a novel architecture called BodyEdge.”
A Survey of Healthcare Internet-of-Things (HIoT): A Clinical Perspective (2019, background): “To this end, various HIoT system architectures have been discussed in the literature [129]–[133].”
A Survey on Information and Communication Technologies for Industry 4.0: State-of-the-Art, Taxonomies, Perspectives, and Challenges (2019, background): “Novel architectures [314] are being proposed to interface such body sensors (by means of multiple wireless technologies) and cloud services.”