Survey of IoT tools and deployments for Healthcare and AAL scenario

  1. J.L. Romero-Gázquez 2
  2. V. Koch 1
  3. F.J. Melero-Muñoz 3
  4. M.V. Bueno-Delgado 2
  1. 1 Karlsruhe Institute of Technology

    Karlsruhe Institute of Technology

    Karlsruhe, Alemania


  2. 2 Universidad Politécnica de Cartagena

    Universidad Politécnica de Cartagena

    Cartagena, España


  3. 3 Centro Tecnológico del Mueble y la Madera de la Región de Murcia

    Centro Tecnológico del Mueble y la Madera de la Región de Murcia

    Yecla, España


1st Sheldon Conference Meeting

Year of publication: 2018

Type: Conference paper


This work explores the current challenges and solutions found in the recent scientific literature about the massive adoption of IoT in healthcare. This study has been addressed by three steps: (i) to know the main applications of the IoT in AAL and healthcare, (ii) to identify the problems and challenges of these implementations and (iii) to show the methodologies and tools used to alleviate these problems. The results are presented as an updated survey about IoT applications for healthcare and AAL scenarios with a huge number of IoT devices.Most of the recent scientific literature focuses their software architecture proposals on Software Defined Networking (SDN) (Hu et al. 2015) or similar solutions (Li et al. 2016, Salahudd in et al. 2017). SDN enables the management of healthcare data in a safe and efficient manner,providing interoperability among devices and EHR systems, scalability, and high efficiency. SDN is not only used for the operation, configuration and management of IoT devices, but also the entire IT network. Finally, in this work we suggest the use of Open Daylight (ODL) asa great SDN controller for the IoT orchestration in healthcare applications. ODL is a modular and open-source tool that allows the addition of own modules developed by the client for their special deployments in the field of healthcare, smart homes, smart cities, Industry 4.0.ODL provides a specific module for IoT, IoT Data Management (IoTDM), which provides the flexibility, security, structuring and interoperability required for healthcare scenarios in a single software system.