Semantic open IoT service platform technology

Park, Dong-Hwan; Bang, Hyo-Chan; Pyo, Cheol Sik; Kang, Seol-Jung

doi:10.1109/wf-iot.2014.6803125

Cited by 32 publications

(13 citation statements)

References 2 publications

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“…Object vocabularies discovered and inferred from web semantics enhance interconnection between device communications. A semantic-based reasoning mechanism enables the discovery of IoT device-specific information and the determination of required actions for the device peripherals (Park et al 2014;Charpenay et al 2015). As a result, the management overhead on a growing number of interconnected IoT devices can be minimized as the capability of semantic inference can reduce the human intervention cost needed for IoT device management.…”

Section: Related Workmentioning

confidence: 99%

A generic Internet of things (IoT) platform supporting plug-and-play device management based on the semantic web

Kim

Yun

et al. 2019

J Ambient Intell Human Comput

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There is a large variety of Internet of things (IoT) devices and their peripherals available in consumer markets, and IoT deployers should work on customizing device drivers that are compatible with their peripherals. Implementing compatible device drivers, however, often requires a burden of work. This paper proposes a generic platform that enables plug-and-play (PnP) integration for sensors and actuators to allow the addition and removal of IoT device peripherals without re-customizing all the device drivers. To this end, we employ IoT ontologies and semantics to represent IoT device characteristics and to infer IoT device behaviors. IoT device behavior is then passed to the generic device driver to cover device-specific operation. Since the generic device driver selectively operates most of the available function calls required in IoT devices, most of the programming work that is normally required for device customization is removed, and management overhead for software installation and maintenance can be minimized. To this end, we employ IoT ontologies and semantics as well as generic programming techniques in the generic platform in order to configure and control IoT devices. In the proposed platform, IoT device characteristics, including I/O functions and configuration rules, are defined using custom-built IoT ontologies, and operational behaviors are inferred through SPARQL queries. The generic platform then passes function-call name and configuration rules corresponding to the newly added peripheral device's specification. The experimental results show that our generic platform covers most of the popular sensors available in the market. Our solution therefore enables a true PnP experience of sensors and actuator peripherals in IoT devices.

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Section: Related Workmentioning

confidence: 99%

A generic Internet of things (IoT) platform supporting plug-and-play device management based on the semantic web

Kim

Yun

et al. 2019

J Ambient Intell Human Comput

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“…Jun Xu et al proposed hand gesture recognition method using pictorial structure and edge information for ensuring accuracy under complex backgrounds, but interoperability rate and flexibility was said to be compromised. To resolve these issues, semantic-based IoT information services was designed to address security aspects and scalability for open IoT service platform [13].…”

Section: Related Workmentioning

confidence: 99%

“…From the above equation (13), the computational overhead ' ' is obtained using the density of human biometric samples ' ' and memory consumed for gradient extraction ' [ , ]', gradient direction ' ( , )' and normalization ' 1 '. It is measured in terms of KiloBytes (KB).…”

Section: Computational Overheadmentioning

confidence: 99%

Histogram of Neighborhood Tripartite Authentication with Fingerprint-based Biometrics for IoT Services

Kanchana¹

2019

IJCNC

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Internet of Things (IoT) and services is an interesting topic with a wide range of potential applications like smart home systems, health care, telemedicine, and intelligent transportation. Traditionally, key agreement schemes have been evaluated to access IoT services which are highly susceptible to security. Recently, Biometric-based authentication is also used to access IoT services and devices. They are involving a larger amount of memory with increased running time and found to be computationally infeasible. To provide robust authentication for IoT services, Histogram of Neighborhood Tripartite Authentication with Fingerprint Biometrics (HNTA-FB) for IoT services is proposed in this paper. This proposed HNTA-FB method uses binary patterns and a histogram of features to extract the region of interest. To reduce the memory requirements while providing access to IoT services, Histogram of Neighborhood Binary Pattern Pre-processing (HNBPP) model is proposed. The discriminative power of Neighbourhood Binary Pattern Registration (NBPR) is integrated with the normalized sparse representation based on the histogram. Additionally, this work presents a new Tripartite User Authentication model for fingerprint biometric template matching process. When compared with different state-of-the-art methods, the proposed method depicts significantly improved performance in terms of matching accuracy, computational overhead and execution speed and is highly effective in delivering smart home services.

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“…To solve the above problems, in this study, an innovative IoT service intermediary communication station that can provide fast communication between devices is proposed. Through the proposed MQTT server platform, (1,2) the design establishes a set of innovative wisdom logic based on the communication between the devices. This will let the device know what role it is assigned to and what it will do throughout the IoT environment.…”

Section: Introductionmentioning

confidence: 99%

Interactive Task Assignment Model for Internet of Things Devices

Hsu¹,

Tsai²,

Chang³

et al. 2019

Sensors and Materials

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In the application of the Internet of Things (IoT) technology, devices may passively receive signals for service or proactively provide data. The main problem in the communication mechanism for an IoT device is how to use the communication mechanism to trigger the wakeup device to exchange data. In the past, IoT devices were mainly operated at the remote end. After the user delivered the service demand task, a one-to-one device operation was possible through network communication. Owing to the changes in technology and demands today, the communication infrastructure has been transformed from a one-to-one approach to a oneto-many model, and even a many-to-many model has evolved. The operator no longer only performs a single operation on each device, so it is necessary to make the device itself gradually intelligent through the calculation of the communication design algorithm, which is a major technological breakthrough. In this study, we will show how to use data communication computing algorithms and communication systems to build intelligent architectures and proactively respond to services across different devices. In addition, using a wake-up detection system, it is possible to avoid the problem that the device responds after receiving the task and delays the delivery of the task result. Experimental results show the efficiency of the proposed method. The variance of real response time was limited within a small interval as the number of devices was increased.

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Semantic open IoT service platform technology

Cited by 32 publications

References 2 publications

A generic Internet of things (IoT) platform supporting plug-and-play device management based on the semantic web

A generic Internet of things (IoT) platform supporting plug-and-play device management based on the semantic web

Histogram of Neighborhood Tripartite Authentication with Fingerprint-based Biometrics for IoT Services

Interactive Task Assignment Model for Internet of Things Devices

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