Design and Implementation of e-Health System Based on Semantic Sensor Network Using IETF YANG

Recently, healthcare services can be delivered effectively to patients anytime and anywhere using e-Health systems. e-Health systems are developed through Information and Communication Technologies (ICT) that involve sensors, mobiles, and web-based applications for the delivery of healthcare service...

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Main Authors: Wenquan Jin, Do Hyeun Kim
Format: Article
Language:English
Published: MDPI AG 2018-02-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/18/2/629
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author Wenquan Jin
Do Hyeun Kim
author_facet Wenquan Jin
Do Hyeun Kim
author_sort Wenquan Jin
collection DOAJ
description Recently, healthcare services can be delivered effectively to patients anytime and anywhere using e-Health systems. e-Health systems are developed through Information and Communication Technologies (ICT) that involve sensors, mobiles, and web-based applications for the delivery of healthcare services and information. Remote healthcare is an important purpose of the e-Health system. Usually, the eHealth system includes heterogeneous sensors from diverse manufacturers producing data in different formats. Device interoperability and data normalization is a challenging task that needs research attention. Several solutions are proposed in the literature based on manual interpretation through explicit programming. However, programmatically implementing the interpretation of the data sender and data receiver in the e-Health system for the data transmission is counterproductive as modification will be required for each new device added into the system. In this paper, an e-Health system with the Semantic Sensor Network (SSN) is proposed to address the device interoperability issue. In the proposed system, we have used IETF YANG for modeling the semantic e-Health data to represent the information of e-Health sensors. This modeling scheme helps in provisioning semantic interoperability between devices and expressing the sensing data in a user-friendly manner. For this purpose, we have developed an ontology for e-Health data that supports different styles of data formats. The ontology is defined in YANG for provisioning semantic interpretation of sensing data in the system by constructing meta-models of e-Health sensors. The proposed approach assists in the auto-configuration of eHealth sensors and querying the sensor network with semantic interoperability support for the e-Health system.
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spelling doaj.art-0787d43b559a450a9b4e575eebe77dd42022-12-22T01:58:43ZengMDPI AGSensors1424-82202018-02-0118262910.3390/s18020629s18020629Design and Implementation of e-Health System Based on Semantic Sensor Network Using IETF YANGWenquan Jin0Do Hyeun Kim1Department of Computer Engineering, Jeju National University, Jeju 63243, KoreaDepartment of Computer Engineering, Jeju National University, Jeju 63243, KoreaRecently, healthcare services can be delivered effectively to patients anytime and anywhere using e-Health systems. e-Health systems are developed through Information and Communication Technologies (ICT) that involve sensors, mobiles, and web-based applications for the delivery of healthcare services and information. Remote healthcare is an important purpose of the e-Health system. Usually, the eHealth system includes heterogeneous sensors from diverse manufacturers producing data in different formats. Device interoperability and data normalization is a challenging task that needs research attention. Several solutions are proposed in the literature based on manual interpretation through explicit programming. However, programmatically implementing the interpretation of the data sender and data receiver in the e-Health system for the data transmission is counterproductive as modification will be required for each new device added into the system. In this paper, an e-Health system with the Semantic Sensor Network (SSN) is proposed to address the device interoperability issue. In the proposed system, we have used IETF YANG for modeling the semantic e-Health data to represent the information of e-Health sensors. This modeling scheme helps in provisioning semantic interoperability between devices and expressing the sensing data in a user-friendly manner. For this purpose, we have developed an ontology for e-Health data that supports different styles of data formats. The ontology is defined in YANG for provisioning semantic interpretation of sensing data in the system by constructing meta-models of e-Health sensors. The proposed approach assists in the auto-configuration of eHealth sensors and querying the sensor network with semantic interoperability support for the e-Health system.http://www.mdpi.com/1424-8220/18/2/629healthcaree-Healthsemantic sensor networkIETF YANGOpen Connectivity Foundation IoTivity
spellingShingle Wenquan Jin
Do Hyeun Kim
Design and Implementation of e-Health System Based on Semantic Sensor Network Using IETF YANG
Sensors
healthcare
e-Health
semantic sensor network
IETF YANG
Open Connectivity Foundation IoTivity
title Design and Implementation of e-Health System Based on Semantic Sensor Network Using IETF YANG
title_full Design and Implementation of e-Health System Based on Semantic Sensor Network Using IETF YANG
title_fullStr Design and Implementation of e-Health System Based on Semantic Sensor Network Using IETF YANG
title_full_unstemmed Design and Implementation of e-Health System Based on Semantic Sensor Network Using IETF YANG
title_short Design and Implementation of e-Health System Based on Semantic Sensor Network Using IETF YANG
title_sort design and implementation of e health system based on semantic sensor network using ietf yang
topic healthcare
e-Health
semantic sensor network
IETF YANG
Open Connectivity Foundation IoTivity
url http://www.mdpi.com/1424-8220/18/2/629
work_keys_str_mv AT wenquanjin designandimplementationofehealthsystembasedonsemanticsensornetworkusingietfyang
AT dohyeunkim designandimplementationofehealthsystembasedonsemanticsensornetworkusingietfyang