• Title/Summary/Keyword: Network communication area

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Addressing and Routing Method for Zigbee Network Expansion (Zigbee 기반 네트워크의 확장을 위한 어드레스 방식과 라우팅 방법)

  • Choi, Sung-Chul;Jeong, Woo-Jeong;Kim, Tae-Ho;Jeong, Kyu-Seuck;Kim, Jong-Heon;Lee, In-Sung
    • The Journal of the Korea Contents Association
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    • v.9 no.7
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    • pp.57-66
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    • 2009
  • Zigbee is a universal communication standard used in USN and is utilized in various applications. Zigbee protocol provides an address within a single PAN network, and at this time, it uses DAA. This is a method that divides a 16-bit address area into blocks with a fixed size according to the depth to assign one to each node. However, this method is limited because it has to assign addresses in 16 bits. As the depth increases, the number of nodes also increases exponentially to the maximal number of routers provided to each depth. Therefore, it is difficult to construct a huge network with numerous routers and large depth as in the places which are wide or have many shadow areas. Besides, since all the operations are performed in a single PAN network, it is hard to make several PANs into a single network. This article suggests new addressing and routing methods that can construct several PAN networks into a single network and combine broad area with less limitation in the number of routers and depth by extending the Zigbee-based network. Moreover, this paper has tested its performance and has verified its usability through substantive tests.

The Design and Implementation of a Network-based Stand-alone Motion System

  • Cho, Myoung-Chol;Jeon, Jae-Wook
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.865-870
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    • 2003
  • A motion controller has been used variously in industry such as semiconductor manufacture equipment, industrial robot, assembly/conveyor line applications and CNC equipment. There are several types of controller in motion control. One of these is a PC-based motion controller such as PCI or ISA, and another is stand-alone motion controller. The PC bus-based motion controller is popular because of improving bus architectures and GUI (Graphic User Interface) that offer convenience of use to user. There are some problems in this. The PC bus-based solution allows for only one of the form factors, so it has a poor flexibility. The overall system package size is bigger than other motion control system. And also, additional axes of control require additional slot, however the number of slots is limited. Furthermore, unwieldy and many wirings come to connect plants or I/O. The stand-alone motion controller has also this limit of axes of control and wiring problems. To resolve these problems, controller must have capability of operating as stand-alone devices that resides outside the computer and it needs network capability to communicate to each motion device. In this paper, a network-based stand-alone motion system is proposed. This system integrates PC and motion controller into one stand-alone motion system, and uses CAN (Controller Area Network) as network protocol. Single board computer that is type of 3.5" FDD form factor is used to reduce the system size and cost. It works with Windows XP Embedded as operating system. This motion system operates by itself or serves as master motion controller that communicates to slave motion controller. The Slave motion controllers can easily connect to master motion system through CAN-network.

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Realization of Hybrid Localization System with Lighting LEDs and Ad-Hoc Wireless Network (LED 조명과 애드혹 무선 네트워크를 사용한 하이브리드 측위 시스템 구현)

  • Lee, Yong Up;Park, Joohyeon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.37C no.9
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    • pp.774-783
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    • 2012
  • A simple, accurate, secure, long-lasting, and portable hybrid positioning system is proposed and designed in this paper. It consists of a lighting LED that generates visible light data corresponding to position information of a target and a Zigbee wireless network communication module with low power, security, and service area expansion characteristics. Under an indoor environment where there is 23.62m distance between an observer and the target, the presented hybrid positioning system is tested and is verified with the functions of Zigbee three hop wireless networking and visible light communication (VLC) scheme. The test results are analyzed and discussed.

A Cluster Based Multi-channel Assignment Scheme for Adaptive Tactical Wireless Mesh Network (무선 메쉬 네트워크의 군 환경 적용을 위한 클러스터 기반 멀티채널 할당 기법)

  • Kim, Young-An
    • Journal of the Korea Institute of Military Science and Technology
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    • v.14 no.5
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    • pp.880-887
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    • 2011
  • The Wireless Mesh Network(WMN) technology is able to provide an infrastructure for isolated islands, in which it is difficult to install cables or wide area such as battlefield. Therefore, WMN is frequently used to satisfy needs for internet connection and active studies and research on them are in progress. However, as a result of increase in number of hops under hop-by-hop communication environment has caused a significant decrease in throughput and an increase in delay. Considering the heavy traffic of real-time data, such as voice or moving pictures to adaptive WMN, in a military environment. Such phenomenon might cause an issue in fairness index. In order to resolve this issue, we proposed a Cluster Based Multi-channel Assignment Scheme(CB-MAS) for adaptive tactical wireless mesh network. In the CB-MAS, the communication between the Cluster-Head(CH) and cluster number nodes uses a channel has no effect on channels being used by the inter-CH links. Therefore, the CB-MAS can minimize the interference within multi-channel environments. Our Simulation results showed that CB-MAS achieves improved the throughput and fairness index in WMN.

Traffic Signal Control Scheme for Traffic Detection System based on Wireless Sensor Network (무선 센서 네트워크 기반의 차량 검지 시스템을 위한 교통신호제어 기법)

  • Hong, Won-Kee;Shim, Woo-Seok
    • Journal of Institute of Control, Robotics and Systems
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    • v.18 no.8
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    • pp.719-724
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    • 2012
  • A traffic detection system is a device that collects traffic information around an intersection. Most existing traffic detection systems provide very limited traffic information for signal control due to the restriction of vehicle detection area. A signal control scheme determines the transition among signal phases and the time that a phase lasts for. However, the existing signal control scheme do not resolve the traffic congestion effectively since they use restricted traffic information. In this paper, a new traffic detection system with a zone division signal control scheme is proposed to provide correct and detail traffic information and decrease the vehicle's waiting time at the intersection. The traffic detection system obtains traffic information in a way of vehicle-to-roadside communication between vehicles and sensor network. A new signal control scheme is built to exploit the sufficient traffic information provided by the proposed traffic detection system efficiently. Simulation results show that the proposed signal control scheme has 121 % and 56 % lower waiting time and delay time of vehicles at an intersection than other fuzzy signal control scheme.

Optimal Structures of a Neural Network Based on OpenCV for a Golf Ball Recognition (골프공 인식을 위한 OpenCV 기반 신경망 최적화 구조)

  • Kim, Kang-Chul
    • The Journal of the Korea institute of electronic communication sciences
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    • v.10 no.2
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    • pp.267-274
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    • 2015
  • In this paper the optimal structure of a neural network based on OpenCV for a golf ball recognition and the intensity of ROI(Region Of Interest) are calculated. The system is composed of preprocess, image processing and machine learning, and a learning model is obtained by multi-layer perceptron using the inputs of 7 Hu's invariant moments, box ration extracted by vertical and horizontal length or ${\pi}$ calculated by area of ROI. Simulation results show that optimal numbers of hidden layer and the node of neuron are selected to 2 and 9 respectively considering the recognition rate and running time, and optimal intensity of ROI is selected to 200.

Landslide Detection using Wireless Sensor Networks (사면방재를 위한 무선센서 네트워크 기술연구)

  • Kim, Hyung-Woo;Lee, Bum-Gyo
    • 한국방재학회:학술대회논문집
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    • 2008.02a
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    • pp.369-372
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    • 2008
  • Recently, landslides have frequently occurred on natural slopes during periods of intense rainfall. With a rapidly increasing population on or near steep terrain in Korea, landslides have become one of the most significant natural hazards. Thus, it is necessary to protect people from landslides and to minimize the damage of houses, roads and other facilities. To accomplish this goal, many landslide prediction methods have been developed in the world. In this study, a simple landslide prediction system that enables people to escape the endangered area is introduced. The system is focused to debris flows which happen frequently during periods of intense rainfall. The system is based on the wireless sensor network (WSN) that is composed of sensor nodes, gateway, and server system. Sensor nodes comprising a sensing part and a communication part are developed to detect ground movement. Sensing part is designed to measure inclination angle and acceleration accurately, and communication part is deployed with Bluetooth (IEEE 802.15.1) module to transmit the data to the gateway. To verify the feasibility of this landslide prediction system, a series of experimental studies was performed at a small-scale earth slope equipped with an artificial rainfall dropping device. It is found that sensing nodes installed at slope can detect the ground motion when the slope starts to move. It is expected that the landslide prediction system by wireless senor network can provide early warnings when landslides such as debris flow occurs.

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Sign Language Image Recognition System Using Artificial Neural Network

  • Kim, Hyung-Hoon;Cho, Jeong-Ran
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.2
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    • pp.193-200
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    • 2019
  • Hearing impaired people are living in a voice culture area, but due to the difficulty of communicating with normal people using sign language, many people experience discomfort in daily life and social life and various disadvantages unlike their desires. Therefore, in this paper, we study a sign language translation system for communication between a normal person and a hearing impaired person using sign language and implement a prototype system for this. Previous studies on sign language translation systems for communication between normal people and hearing impaired people using sign language are classified into two types using video image system and shape input device. However, existing sign language translation systems have some problems that they do not recognize various sign language expressions of sign language users and require special devices. In this paper, we use machine learning method of artificial neural network to recognize various sign language expressions of sign language users. By using generalized smart phone and various video equipment for sign language image recognition, we intend to improve the usability of sign language translation system.

Target Localization Method using the Detection Signal Strength of Seismic Sensors for Surveillance Reconnaissance Sensor Network (감시정찰 센서 네트워크에서의 지진동센서 탐지 신호 세기를 이용한 표적 측위 방법)

  • Hyeon-Soo Im;In-Yong Hwang;Hyung-Seok Kim;Sang-Heon Shin
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.6
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    • pp.1291-1298
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    • 2023
  • Surveillance reconnaissance sensor network is used for surveillance in wartime and area of operation. In this paper, we propose a target localization method using the detection signal strength of seismic sensors. Relay equipment calculates the target location using coordinate information and detection signal strength of the seismic sensors. Target localization error deviation due to environmental factors was minimized by subtracting the dynamic offset when calculating the target location. Field test shows improvement of target localization through reduction of errors. The average error was decreased to 3.62m. Up to 62% improved result was obtained compared to weighted centroid localization method.

Comprehensive Survey on Multi Attribute Decision Making Methods for Wireless Ad Hoc Networks

  • Beom-Su Kim;Ki-Il Kim;GyuRi Chang;Kyong Hoon Kim;BongSoo Roh;Jae-Hyun Ham
    • Journal of Internet Technology
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    • v.20 no.5
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    • pp.1575-1588
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    • 2019
  • Recently, to design dynamic networks without existing infrastructure, wireless ad hoc networks have been proposed to establish self-organizing networks. In this type of network, to resolve the primary research challenge of establishing a stable path between source and destination, several metrics or utility values have been proposed to meet the specific objectives, as well as improve packet delivery ratio when developing communication protocols or addressing technical issues. Notably, most existing studies use the Multi Attribute Decision Making (MADM) algorithm to balance weights between relevant metrics to realize the above objective. However, despite their significant efforts, a comprehensive survey paper analyzing them together has not been published. Thus, in this paper, we describe the recent research and development efforts to employ MADM in ad hoc networks. First, we provide an overview of MADM and explain the well-known algorithms. After categorizing the current work according to the algorithms, the existing schemes are further divided by the type of networks. Based on this classification, we then detail the procedures with their research objectives. Furthermore, we present other research challenges and apparent problems in this research area.