A multi-layer sensing as a service model based on internet of things for smart-healthcare applications

• Main Authors: Mohammed, Ali Abdul-Jabbar, Mohd Aboobaider, Burhanuddin, Alkhazraji, Adel Abdul-Jabbar, Hassan, Ali Abdul Hussian, Basiron, Halizah
• Format: Article
• Language: English
• Published: Blue Eyes Intelligence Engineering and Sciences Publication 2019
• Online Access: http://eprints.utem.edu.my/id/eprint/24471/2/ARTICLE-AMULTI-LAYERSENSINGASASERVICEMODEL-IJRTE2019.PDF; http://eprints.utem.edu.my/id/eprint/24471/; https://www.ijrte.org/wp-content/uploads/papers/v7i6s5/F11170476S519.pdf

Smart healthcare services have been known for requiring huge concentricity of information resources and establishments. However, unprecedented attraction of offering new technologies has now become an overwhelming resource management issue for healthcare service providers. The tremendous demands toward effective smart healthcare administration seems to have prompted to develop various ICT technologies in finding advantageous solutions to positively solve the increasing problems. The Internet of Things (IoT) even offers considerable interest to deliver an efficient resource management in Smart healthcare services. Such tremendous smart IoT health devices that linked to the internet could very well provide various types of service solutions and generate a big amount of data and information. However, most applications that may have interaction with smart IoT health devices just like sensors come with particular requirements to allow real time processing for different data types. In this paper, we introduce a multi-layer Sensing as a Service model as well as, clarifying how it end up being addressed by the concept of IoT. Our target is definitely to investigate the IoT technologies towards the delivery of Sensing as a Service with regard to the technical perspective and recognize the key available problems. We also illustrate the proposed multi-layer sensing as a service modelbyemployingthe scenario of smart healthcare application. Finally, discussion has been delivered for providing the major advantages and benefits of our proposed model.