• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.4
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• pp.1147-1161
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• 2023

The Internet of Things (IoT) requires a new processing model that will allow scalability in cloud computing while reducing time delay caused by data transmission within a network. Such a model can be achieved by using resources that are closer to the user, i.e., by relying on edge computing (EC). The amount of IoT data also grows with an increase in the number of IoT devices. However, building such a flexible model within a heterogeneous environment is difficult in terms of resources. Moreover, the increasing demand for IoT services necessitates shortening time delay and response time by achieving effective load balancing. IoT devices are expected to generate huge amounts of data within a short amount of time. They will be dynamically deployed, and IoT services will be provided to EC devices or cloud servers to minimize resource costs while meeting the latency and quality of service (QoS) constraints of IoT applications when IoT devices are at the endpoint. EC is an emerging solution to the data processing problem in IoT. In this study, we improve the load balancing process and distribute resources fairly to tasks, which, in turn, will improve QoS in cloud and reduce processing time, and consequently, response time.

• The Journal of the Korea institute of electronic communication sciences
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• v.10 no.9
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• pp.1065-1070
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• 2015

The era of IoT in which all objects are intelligent and are connected to the Internet has been started. In order to establish and activate an IoT eco system, open services platform is very important. In this paper, we developed a gateway that utilize the Raspberry Pi which is open source hardware for IoT open service platform. The gateway supports a variety of wireless interface and equipped with MQTT, a standard messaging protocol for IoT. To confirm main function of developed gateway, we built a IoT test bed and verified normal operation of our gateway.

• IEMEK Journal of Embedded Systems and Applications
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• v.12 no.6
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• pp.369-375
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• 2017

In this paper, we present a self-adaptive software platform that enables an IoT gateway to perform autonomous operation considering IoT devices connected each other in resource-constrained environments. Based on the oneM2M device software platform publicly available, we have designed an additional part, called SAS (self-adaptive software) consisting of MAM (memory-aware module), NAM (network-aware module), BAM (battery-aware module), DAM (data-aware module), and DH (decision handler). A prototype system is implemented to show the feasibility of the proposed self-adaptive software architecture. Our proposed system demonstrates that it can adaptively adjust the operation of gateway and connected devices to their resource conditions under the desired service scenarios.

• Convergence Security Journal
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• v.21 no.1
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• pp.9-17
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• 2021

Numerous IoT devices are connected to a wireless network environment to collect and transmit data without time and space limitations, but many security vulnerabilities are exposed in these process. But IoT security is not easy to create feasible security standards and device authentication due to differences in the approach or implementation of devices and networks. However, it is clear that the improvement and application of the standard framework for enhancing the security level of the device is the starting point to help the most successful security effect. In this study, we investigate the confidentiality, integrity, availability, and access control implementation plans for IoT devices (which are the basic goals of information security), and standardized security evaluation criteria for IoT devices, and study ways to improve them.

• Smart Media Journal
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• v.10 no.2
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• pp.84-91
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• 2021

In the EU GDPR, when collecting personal information, the right of the information subject(user) to consent or refuse is given the highest priority. Therefore, the information subject must be able to withdraw consent and be forgotten and claim the right at any time. Especially, restricted IoT devices(Constrained Node) implement the function of consent of the data subject regarding the collection and processing of privacy data, and it is very difficult to post the utilization content of the collected information. In this paper, we designed and implemented a management system that allows data subjects to monitor data collected and processed from IoT devices, recognize information leakage problems, connect, and control devices. Taking into account the common information of the standard OCF(Open Connectivity Foundation) of IoT devices and AllJoyn, a device connection framework, 10 meta-data for information protection were defined, and this was named DPD (Data Protection Descriptor). we developed DPM (Data Protection Manager), a software that allows information subjects to manage information based on DPD.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.9
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• pp.1026-1037
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• 2016

3rd Generation Partnership Project (3GPP) is the progressing standardization of the narrowband IoT (NB-IoT) system to support massive devices for the Internet of Things (IoT) services. The NB-IoT system uses a coverage class technique to increase the performance of the NB-IoT system while serving massive devices in very wide coverage area. A moving device can change the coverage class according to the distance or the channel state between the base station and the moving device. However, in the conventional NB-IoT standard, the performance of the NB-IoT system degrades because the coverage class is changed based on the fixed criterion. This paper proposes the coverage class adaptation schemes to increase the performance of the NB-IoT system by dynamically change the coverage class according to the location or the channel state of the device. Simulation results show that the proposed coverage class adaptation scheme decreases both the signaling overhead and the PDCCH decoding error rate in comparison with the conventional coverage class adaptation scheme in the 3GPP standard.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.5
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• pp.149-154
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• 2013

IoT is emerging topic of the post-smartphone era. But IoT service is actually not easy but due to the absence of the open standard IoT service platform. In this study, We propose and implement IoT services platform using commercial SNS platform like Tweet, Facebook or YouTube. we implement the intelligent control system of the urban farm using our IoT services platform as an example. Our system can save an additional server deployment and management cost using open SNS platform like Tweet or Facebook or Youtube. In addition, there are needs to develop App. for the smartphone because we can take advantage of the user interface which is developed by global enterprises.

• Journal of Internet Computing and Services
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• v.20 no.6
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• pp.157-166
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• 2019

oneM2M has been adopted to national and global smart city platforms leveraging its benefits, oneM2M platform assures interoperability to devices and services with standard APIs. Existing access control mechanisms in the standard should be extended to easily distribute smart city data. Compared to the as-is standard, this paper proposes a new access control method with minimum human interventions during data distribution between data sellers and buyers. The proposal has been implemented as the new data marketplace APIs to oneM2M platform and used for data marketplace portal interworking. This also has been demonstrated with smart city PoC service.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.10a
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• pp.265-267
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• 2018

This paper addresses the study of wired and wireless gateway with IoT Standard. The gateway that we develop through this study is designed to be utilized for collection energy information among various serveces. It is aimed at the role as an Advanced Metering Infrastructure which is a core infrastructure for Smargrid services. To this end, the gateway has a structure that can apply the IoT standard and the network technology used in the Smartgrid. These gateway can be applied with small and medium energy consumer that require energy information collection.

• Journal of the Korea Society of Computer and Information
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• v.24 no.3
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• pp.151-157
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• 2019

In this paper, we present a prototype system for controlling IoT home appliances via voice-based commands. A voice command has been widely deployed as one of unobtrusive user interfaces for applications in a variety of IoT domains. However, interoperability between diverse IoT systems is limited by several dominant companies providing voice assistants like Amazon Alexa or Google Now due to their proprietary systems. A global IoT standard, oneM2M has been proposed to mitigate the lack of interoperability between IoT systems. In this paper, we deployed oneM2M-based platforms for a voice record device like a wrist band and LED control device like a home appliance. We developed all the components for recording voices and controlling IoT devices, and demonstrate the feasibility of our proposed method based on oneM2M platforms and Google STT (Speech-to-Text) API for controlling home appliances by showing a user scenario for turning the LED device on and off via voice commands.