ROSA: Resource-Oriented Service Management Schemes for Web of Things in a Smart Home

Liao, Chun-Feng; Chen, Pengyu

doi:10.3390/s17102159

Cited by 9 publications

(8 citation statements)

References 68 publications

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“…We used the Multi Agent System (MAS) platform named Java Agent DEvelopment Framework (JADE) and Web Service Integration Gateway (WSIG) [ 64 ] for implementing the video streaming service disruption proxies. This decisition is in the line of recent approaches to software design for IoT in Smart Home control [ 65 , 66 ]. We do not know any other work that has used MAS for video surveillance systems programming able to interoperate with Web services in the domain of Smart Home.…”

Section: System Architecture and Operationmentioning

confidence: 84%

Low Cost Efficient Deliverying Video Surveillance Service to Moving Guard for Smart Home

Gualotuña

Macías

Suárez

et al. 2018

Sensors

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Low-cost video surveillance systems are attractive for Smart Home applications (especially in emerging economies). Those systems use the flexibility of the Internet of Things to operate the video camera only when an intrusion is detected. We are the only ones that focus on the design of protocols based on intelligent agents to communicate the video of an intrusion in real time to the guards by wireless or mobile networks. The goal is to communicate, in real time, the video to the guards who can be moving towards the smart home. However, this communication suffers from sporadic disruptions that difficults the control and drastically reduces user satisfaction and operativity of the system. In a novel way, we have designed a generic software architecture based on design patterns that can be adapted to any hardware in a simple way. The implanted hardware is of very low economic cost; the software frameworks are free. In the experimental tests we have shown that it is possible to communicate to the moving guard, intrusion notifications (by e-mail and by instant messaging), and the first video frames in less than 20 s. In addition, we automatically recovered the frames of video lost in the disruptions in a transparent way to the user, we supported vertical handover processes and we could save energy of the smartphone's battery. However, the most important thing was that the high satisfaction of the people who have used the system.

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Section: System Architecture and Operationmentioning

confidence: 84%

Low Cost Efficient Deliverying Video Surveillance Service to Moving Guard for Smart Home

Gualotuña

Macías

Suárez

et al. 2018

Sensors

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“…Liao and Chen [30] present the new service management schemes of smart homes based on the Web. The author presents a new scheme for managing the services of the Web of Things in a smart home.…”

Section: B Things Modelmentioning

confidence: 99%

The Web of Things: Findability Taxonomy and Challenges

2019

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Due to an increase in the number of devices, the Web of Things (WoT) has attracted a great deal of attention and focus from researchers in the past few years. The ultimate goal of Web of Things is to build an ideal search engine where the user or even devices can find other devices anywhere and at any time for using the resources of other devices. The purpose of the paper is to identify and to present the current research on Web of Things. Additionally, the paper focuses on the research gap that currently exists and on future needs in the domain of WoT. In Author's opinion, the literature review presented in the paper will effectively help the researchers in finding resources in WoT as it highlights the research gap in the domain of Web of Things and searching resources in WoT. The results of the review indicate that the current challenges for the Web of Things are dynamic searching, scalability, data integration, intent-based searching, etc. The focus of this paper is on dynamic searching.

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“…One reason behind this situation is that the systems and devices holding these health data are heterogeneously built. Also, the protocols, e.g., Bluetooth, ZigBee, and RFID, used to communicate with the IoT devices are varied, and many of the devices and service applications rely on certain platforms or technology, which restricts the integration of these devices [15,16].…”

Section: Introductionmentioning

confidence: 99%

Meaningful Integration of Data from Heterogeneous Health Services and Home Environment Based on Ontology

Peng

Goswami

2019

Sensors

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The development of electronic health records, wearable devices, health applications and Internet of Things (IoT)-empowered smart homes is promoting various applications. It also makes health self-management much more feasible, which can partially mitigate one of the challenges that the current healthcare system is facing. Effective and convenient self-management of health requires the collaborative use of health data and home environment data from different services, devices, and even open data on the Web. Although health data interoperability standards including HL7 Fast Healthcare Interoperability Resources (FHIR) and IoT ontology including Semantic Sensor Network (SSN) have been developed and promoted, it is impossible for all the different categories of services to adopt the same standard in the near future. This study presents a method that applies Semantic Web technologies to integrate the health data and home environment data from heterogeneously built services and devices. We propose a Web Ontology Language (OWL)-based integration ontology that models health data from HL7 FHIR standard implemented services, normal Web services and Web of Things (WoT) services and Linked Data together with home environment data from formal ontology-described WoT services. It works on the resource integration layer of the layered integration architecture. An example use case with a prototype implementation shows that the proposed method successfully integrates the health data and home environment data into a resource graph. The integrated data are annotated with semantics and ontological links, which make them machine-understandable and cross-system reusable.

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ROSA: Resource-Oriented Service Management Schemes for Web of Things in a Smart Home

Cited by 9 publications

References 68 publications

Low Cost Efficient Deliverying Video Surveillance Service to Moving Guard for Smart Home

Low Cost Efficient Deliverying Video Surveillance Service to Moving Guard for Smart Home

The Web of Things: Findability Taxonomy and Challenges

Meaningful Integration of Data from Heterogeneous Health Services and Home Environment Based on Ontology

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