A Personal connected health system for the IoT based on the CoAP Authors: Danilo F.S.S, Hyggo O.A, Angelo P. Speaker : Nadia Media Rizka
Outline Background Technology Overview PHD IEEE 11073:20601 CoAP Discussion PHDs based on CoAP PHDs and home devices based on UPnP Conclusion
Background The connected health vision is growing due to the availability of new technology enablers. Skyrocketing costs of healthcare and increasing demand for health services. The current model of healthcare services is not working anymore.
Overview (PHD) “Personal Health Devices” PHD can transmit data using short-range wireless technology. PHD’s Structure: Sensor Module Controller Module Communication Module
Cont’ From IoT point of view: Classification of PHDs: Gateway-Based devices Internet-Ready devices Requirements of PHDs: Low processing power Low power consumption Limited communication interfaces
Overview (IEEE 11073: 20601) Include in the context of the ISO/IEEE family of standards for device communication. Defines a common framework for making an abstract model of personal health data available in transport-independent transfer syntax required to establish logical connections between systems. Provide presentation capabilities and services needed to perform communication tasks. The protocol is optimized to personal health usage requirements and leverages commonly used methods and tools wherever possible.
Cont’ Two types of devices: Agents Data producers (sensor devices) Managers Data collectors (powerful device connected to a main power source)
Overview (CoAP) “Constrained Application Protocol” Web transfer protocol Used over UDP packets Supports confirmable messages Resource discovery capability Can be used over different transport technologies Bonded to DTLS Low power consumption
Discussion
PHDs based on CoAP
PHDs and home devices based on UPnP
Conclusions CoAP is a system that enables PHDs to share information in home networks and with the internet based on a new IoT protocol. CoAP is used along with the IEEE family of standards, which is the main exchange data model for PHD communication. The proposed system can be integrated to other connected health systems, such as UPnP.