• 정보화사회
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• s.175
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• pp.48-51
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• 2005

초고속인터넷, 무선통신의 보급과 유비쿼터스 환경으로 발전하면서 기반기술인 임베디드 시스템의 중요성이 커지고 있다. 임베디드 SW는 휴대폰, 디지털 TV, 셋톱박스, 홈네트워크는 물론 스마트카드, RFID, 센서노드 등 광범위한 분야에서 활용된다. 향후 임베디드 SW의 개발 경쟁력은 국가 경쟁력의 지표가 될 전망이어서 중요성이 더욱 커질 것으로 보인다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.05a
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• pp.378-381
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• 2011

The group management system with Wireless Sensor Network and android application is proposed in this paper. The proposed system was composed of personal devices with sensor nodes of WSN, manager device of android platform, and the web server. The sensor node used by each group member send a data packet to the manager device every 2 seconds. The leader device displays and transmits entire information to the web server. The web server represents these information through web page. Therefore, guardians can assure their group member's safety and security on the web page. The RSSI value of each sensor node converted by computed log-normal path loss model into distance value and displays on the manager device and the web page.

• Journal of Advanced Marine Engineering and Technology
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• v.37 no.8
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• pp.918-931
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• 2013

The conventional object tracking techniques using PTZ camera detects object movements by analyzing acquired image. However, this technique requires expensive hardware devices to perform a complex image processing. And it is occasionally hard to detect object movements, if an acquired image is low quality or image acquisition is impossible. In this paper, we proposes a smart security CCTV system applying to wireless sensor network technique based on IEEE 802.15.4 standard to overcome the problems of conventional object tracking technique, which enables to track suspicious objects by detecting object movements and GPS data in sensor node. This system enables an efficient control of PTZ camera to observe a wide area, decreasing image processing complexity. Also, wireless sensor network is implemented using mesh networks to increase the efficiency of installing sensor node.

• Electronics and Telecommunications Trends
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• v.24 no.6
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• pp.1-10
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• 2009

지능형 센서 네트워크 기반의 첨단 IT 시스템을 이용한 실시간 환경 관리 및 보안 서비스를 제공하는 스마트 빌딩에서 다양한 빌딩내 환경 및 보안 정보를 감지하여 실시간으로 전달, 판단, 처리 및 제어할 수 있는 지능형 센서노드 플랫폼의 핵심 부품인 각종 센서의 제품 기술과 산업 현황을 분석하고 관련 센서 기술 및 산업의 미래 전망을 예측하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.405-406
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• 2012

A sensor network is composed of a large number of sensor nodes which have sensing, computation and wireless communication capabilities. The sensor node sends such collected data, usually via radio transmitter, to a command center (sink) either directly or through a data concentration center (a gateway). These sensor networks can be used for various application areas such as health, military, home network, managing inventory, monitoring disaster areas and so on. Moreover, owing to the rapid growth of mobile technology, high-performance smartphones are widespread and in increasing cases are utilized as a terminal device. In this paper, we propose a home management system using smartphone and sensor networks.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2010.05a
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• pp.1029-1030
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• 2010

• The Journal of Korean Institute of Next Generation Computing
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• v.15 no.6
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• pp.60-71
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• 2019

As IoT systems such as smart farms and smart cities become popular, a large amount of data collected from many sensor nodes is sent to a server in the Internet, which causes network traffic explosion, delay in delivery, and increase of server's workload. To solve these problems, the concept of fog computing has been proposed to store data between IoT systems and servers. In this study, we implemented a software platform of the fog node and applied it to the prototype smart farm system in order to check whether the problems listed above can be solved when using the fog node. When the fog node is used, the time taken to control an IoT device is lower than the response time of the existing IoT device-server case. We confirmed that it can also solve the problem of the Internet traffic explosion and the workload increase in the server. We also showed that the intelligent control of IoT system is feasible by having the data visualization in the server and real time remote control, emergency notification in the fog node as well as data storage which is the basic capability of the fog node.

• Journal of Digital Convergence
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• v.14 no.8
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• pp.269-276
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• 2016

Public Safty-LTE(Long Term Evolution) is being deployed in the direction of reducing cost by using both of municipal network and commercial network. However, LTE Network is difficult to ensure the survivability during the information communication infrastructure failures. In addition, it is vulnerable in communication coverage of inside buildings and underground. In this study, we propose to implement effectively the network survivability technique through the convergence to the proven technology. As the advent of the IoT Age, smart sensors which are embedded in the environment and the things will be able to provide a useful infrastructure for ensuring the network survivability. Based on the feature of the smart sensor, we designed the sink node architecture to guarantee the network survivability in disaster situation through the convergence of the small cell technology and extension of wireless network coverage technology. The computing power inherent in the environment is a valuable resource that can be utilized in the disaster situation.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.05a
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• pp.82-85
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• 2021

최근 초연결화를 근간으로 한 스마트 홈 구성을 위해 스마트 홈 내부에 센서를 탑재한 디바이스가 증가하고 있으며, 이를 효과적으로 사용하기 위해 빅데이터 처리 시스템이 활발하게 도입되고 있다. 그러나 기존 빅데이터 처리 시스템은 분산노드에 할당되기 전 모든 요청이 클러스터 드라이버로 향하기 때문에 동시에 많은 요청이 발생하는 경우 분할 작업을 관리하는 클러스터 드라이버에 병목현상이 발생함에 따라 네트워크를 공유하는 클러스터 전체의 성능감소로 이어진다. 특히 작은 데이터 처리를 지속적으로 요청하는 스마트 홈 디바이스에서 지연율이 더 크게 나타난다. 이에 본 논문에서는 동시간에 빈번한 요청이 발생하는 스마트 홈 환경에서 효과적인 데이터 처리를 위한 기계학습 기반 캐싱 시스템을 설계하였다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.6
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• pp.33-41
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• 2018

The idea of the Internet of Things as a platform on the Smart Campus has become increasingly popular. It requires an infrastructure consisting of communication networks, sensor nodes and gateways to connect to the Internet. Each sensor node is responsible for gathering data from the environment. This document outlines a network of wireless sensors on the Internet for the application of Smart Campus monitoring. Wireless sensor network Monitoring have become a complete solution to using a low power implementation and integrated systems. The numerous restrictions however result from the low communication range, the limited computing power, the lack of availability of the network protocol, the lack of programming security and the security failures in the areas of confidentiality, integrity and availability. A new security technique and its functionality for WSNM nodes developed. Development in the research of a secure network and suggestions for avoiding denial of service (DOS) and complexity attacks. These systems if properly implemented can provide an energy efficiency mechanism through pre-allocation and a new key from key management models with a secure routine algorithm.