• Title/Summary/Keyword: Mobile IoT

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Implementation of Heat Control System using NB-IoT (NB-IoT를 활용한 발열 제어 시스템 구현)

  • Shin, DongKeun;Kim, HyungJin
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.12 no.2
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    • pp.135-141
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    • 2019
  • Internet of thing becomes more active, many sensor devices are increasing. Sensors can use network wired network or use mobile communication network. From the viewpoint of the transmission rate, the mobile communication network can be roughly divided into two types of high-speed communication and low-speed communication. In the case of hundreds of millions of sensors in the mobile communication network, resources are wasted to use high-speed communication. Communication is required to reduce the transmission rate and appropriately allocate resources without wasting such resources. As the Internet of Thing has been activated, Narrowband Internet of Thing(NB-IoT), which is one of the low-power technologies in recent mobile communications, is in the spotlight from various companies. Currently, it can be seen that only NB-IoT or other low power consumption communication has the potential to be able to connect to the Internet with rapidly increasing sensor devices. In this paper, we designed and implemented a heater controller using Huawei NB-IoT communication Module, a server that collects controller information, and an application that allows default settings for devices. The main function of this system is to collect temperature and heater status and give it to the server, control the heater from the server, and set parameters for the heater to operate automatically. The system can be applied to places where wired communication is not established, such as road information, smart agriculture, and small reservoirs as well as heaters.

Design and Implementation of mobile App for diagnosing sensor of IoT module (IoT모듈의 센서 진단을 위한 모바일 앱 설계 및 구현)

  • Kim, Jin-Hong;Jang, Si-Woong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2019.05a
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    • pp.118-120
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    • 2019
  • 최근 IoT 모듈 즉, 사물 인터넷 기반 기술에 대한 연구가 활발히 진행되고 있으며, 다양한 제품들이 출시되고 있다. 대표적인 IoT 제품으로 가정에서 인터넷과 모바일 앱을 이용하여 카메라, 전등, 보일러 등을 제어하는 것을 볼 수 있다. 하지만 보통의 IoT모듈은 센서로 값을 추출하는 것이 목적이기 때문에 센서의 정확성과 고장 유 무를 판단하기 힘들다. 본 논문에서는 아두이노와 무선통신, 웹서버, 안드로이드 어플리케이션을 이용해 센서에서 추출된 값을 비교 분석한 표준편차를 이용해 센서의 고장 유 무를 판단 할 수 있는 모바일 앱을 설계 및 구현하고자 한다. 아두이노의 와이파이, 온습도센서 모듈 등을 이용하여 통신 연결을 하고 각종 환경, 제어정보들을 HTTP통신을 이용하여 웹서버와 통신하여 전달하고 제어한다. 이로써 사용자가 직접 IoT모듈에 가지 않아도 스마트폰 어플리케이션을 통해 센서 상태를 모니터링 및 진단하고 고장 유 무를 파악하여 교체시기를 알려주는 기능을 구현하였다.

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A Study on IoT Service for Game Development (게임 개발을 위한 IoT 서비스)

  • Lee, MyounJae
    • Journal of Digital Convergence
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    • v.13 no.2
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    • pp.291-297
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    • 2015
  • The basic idea of IoT(Internet of Things) is interconnection and cooperation with a variety of things in real life such as Radio-Frequency Identification(RFID) tags, sensors, mobile phone, etc, through internet. IoT technologies which applied to these fields consist of sensor network technology and middleware, application. Currently, IoT technology is applied to various fields such as health care, home care, automotive, transportation, construction, agriculture, environment, food, and etc, based on its technologies. This paper focuses on discussion of the IoT development trend in game field. In order to achieve this purpose, first, the IoT technologies for game development based on sensor network technology and middleware, application is mentioned. Second, covers serious game and gamification that is expected to be a growing that is expected to be a growing, by applying IoT technologies to the game field. It can help for game developers by using IoT technologies.

Intrusion Artifact Acquisition Method based on IoT Botnet Malware (IoT 봇넷 악성코드 기반 침해사고 흔적 수집 방법)

  • Lee, Hyung-Woo
    • Journal of Internet of Things and Convergence
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    • v.7 no.3
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    • pp.1-8
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    • 2021
  • With the rapid increase in the use of IoT and mobile devices, cyber criminals targeting IoT devices are also on the rise. Among IoT devices, when using a wireless access point (AP), problems such as packets being exposed to the outside due to their own security vulnerabilities or easily infected with malicious codes such as bots, causing DDoS attack traffic, are being discovered. Therefore, in this study, in order to actively respond to cyber attacks targeting IoT devices that are rapidly increasing in recent years, we proposed a method to collect traces of intrusion incidents artifacts from IoT devices, and to improve the validity of intrusion analysis data. Specifically, we presented a method to acquire and analyze digital forensics artifacts in the compromised system after identifying the causes of vulnerabilities by reproducing the behavior of the sample IoT malware. Accordingly, it is expected that it will be possible to establish a system that can efficiently detect intrusion incidents on targeting large-scale IoT devices.

A Study of Smart IT convergence Framework applying a Lego-typed Sensor Module (레고형 센서 모듈을 활용한 스마트 IT 융합 프레임워크에 관한 연구)

  • Park, Jung-min;Kim, Hye-Young
    • Journal of Korea Game Society
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    • v.16 no.3
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    • pp.87-96
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    • 2016
  • As use of Internet increase, IoT(Internet Of Things), a interaction between connected devices, is widely used throughout industrial area. In this paper, we discussed what to consider when planning framework for contents using user's mobile devices and various sensors in IoT environment and suggest related techniques. Also, using the techniques suggested in this paper, we showed the prototype of the framework. Finally, we showed the possibility of games in the IoT environment by creating game in the IoT environment.

Overview on Smart Sensor Technology for Biometrics in IoT Era (사물인터넷 시대의 생체인식 스마트 센서 기술과 연구 동향)

  • Kim, Kwang-Seok;Kim, Dae Up
    • Journal of the Microelectronics and Packaging Society
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    • v.23 no.2
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    • pp.29-35
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    • 2016
  • With the pace of rapid innovation in technology of IoT (Internet of Things) and smart devices, biometric technology becomes one of the most progressive industries. Recent trends in biometrics show most are focused on embedding biometric sensors in mobile devices for user authentication. Multifactor biometrics such as fingerprint, retina, voice, etc. are considering as identification system to provide users with services more secured and convenient. Here we, therefore, demonstrate some major technologies and market trends of mobile biometric technology with its concerns and issues.

Data Storage and Security Model for Mobile Healthcare Service based on IoT (IoT 기반의 모바일 헬스케어 서비스를 위한 데이터 저장 및 보호 모델)

  • Jeong, Yoon-Su
    • Journal of Digital Convergence
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    • v.15 no.3
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    • pp.187-193
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    • 2017
  • Objects Internet-based healthcare services provide healthcare and healthcare services, including measurement of user's vital signs, diagnosis and prevention of diseases, through a variety of object internet devices. However, there is a problem that new security vulnerability can occur when inter-working with the security weakness of each element technology because the internet service based on the object Internet provides a service by integrating various element technologies. In this paper, we propose a user privacy protection model that can securely process user's healthcare information from a third party when delivering healthcare information of users using wearable equipment based on IoT in a mobile environment to a server. The proposed model provides attribute values for each healthcare sensor information so that the user can safely handle, store, and store the healthcare information, thereby managing the privacy of the user in a hierarchical manner. As a result of the performance evaluation, the throughput of IoT device is improved by 10.5% on average and the server overhead is 9.9% lower than that of the existing model.

A Design of Cooperation Coordinator using Band-Cloud

  • Min, Seongwon;Lee, Jong-Yong;Jung, Kye-Dong
    • International Journal of Advanced Culture Technology
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    • v.5 no.2
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    • pp.90-97
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    • 2017
  • The Internet of Things(IoT) market is expected to grow from 15.5billion to 75.4 billion by 2015-2025. As the number of IoT devices increases, the amount of data that is sent to the cloud is increasing. Today's Cloud Computing models are not suited to handle the vast amount of data generated by IoT devices. In this paper, we propose a Cooperation Coordinator System that reduces server load and improved real-time processing capability under specific circumstances by using Band-Cloud. The cooperation coordinator system dynamically forms the cloud when cooperation is needed between mobile devices located near. It is called Band-Cloud. Band-Cloud provides services entrusted by Central Cloud. This paper describes the proposed system and shows the cooperation process using the Android-based mobile devices and Wi-Fi Direct technology. Such a system can be applied to cases where real-time processing is required in a narrow area such as a hospital ward or a school classroom.

A Minimum Energy Consuming Mobile Device Relay Scheme for Reliable QoS Support

  • Chung, Jong-Moon;Kim, Chang Hyun;Lee, Daeyoung
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.2
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    • pp.618-633
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    • 2014
  • Relay technology is becoming more important for mobile communications and wireless internet of things (IoT) networking because of the extended access network coverage range and reliable quality of service (QoS) it can provide at low power consumption levels. Existing mobile multihop relay (MMR) technology uses fixed-point stationary relay stations (RSs) and a divided time-frame (or frequency-band) to support the relay operation. This approach has limitations when a local fixed-point stationary RS does not exist. In addition, since the time-frame (or frequency-band) channel resources are pre-divided for the relay operation, there is no way to achieve high channel utilization using intelligent opportunistic techniques. In this paper, a different approach is considered, where the use of mobile/IoT devices as RSs is considered. In applications that use mobile/IoT devices as relay systems, due to the very limited battery energy of a mobile/IoT device and unequal channel conditions to and from the RS, both minimum energy consumption and QoS support must be considered simultaneously in the selection and configuration of RSs. Therefore, in this paper, a mobile RS is selected and configured with the objective of minimizing power consumption while satisfying end-to-end data rate and bit error rate (BER) requirements. For the RS, both downlink (DL) to the destination system (DS) (i.e., IoT device or user equipment (UE)) and uplink (UL) to the base station (BS) need to be adaptively configured (using adaptive modulation and power control) to minimize power consumption while satisfying the end-to-end QoS constraints. This paper proposes a minimum transmission power consuming RS selection and configuration (MPRSC) scheme, where the RS uses cognitive radio (CR) sub-channels when communicating with the DS, and therefore the scheme is named MPRSC-CR. The proposed MPRSC-CR scheme is activated when a DS moves out of the BS's QoS supportive coverage range. In this case, data transmissions between the RS and BS use the assigned primary channel that the DS had been using, and data transmissions between the RS and DS use CR sub-channels. The simulation results demonstrate that the proposed MPRSC-CR scheme extends the coverage range of the BS and minimizes the power consumption of the RS through optimal selection and configuration of a RS.

A Research on Low-power Buffer Management Algorithm based on Deep Q-Learning approach for IoT Networks (IoT 네트워크에서의 심층 강화학습 기반 저전력 버퍼 관리 기법에 관한 연구)

  • Song, Taewon
    • Journal of Internet of Things and Convergence
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    • v.8 no.4
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    • pp.1-7
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    • 2022
  • As the number of IoT devices increases, power management of the cluster head, which acts as a gateway between the cluster and sink nodes in the IoT network, becomes crucial. Particularly when the cluster head is a mobile wireless terminal, the power consumption of the IoT network must be minimized over its lifetime. In addition, the delay of information transmission in the IoT network is one of the primary metrics for rapid information collecting in the IoT network. In this paper, we propose a low-power buffer management algorithm that takes into account the information transmission delay in an IoT network. By forwarding or skipping received packets utilizing deep Q learning employed in deep reinforcement learning methods, the suggested method is able to reduce power consumption while decreasing transmission delay level. The proposed approach is demonstrated to reduce power consumption and to improve delay relative to the existing buffer management technique used as a comparison in slotted ALOHA protocol.