• Title/Summary/Keyword: WI-Fi

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Signal Interference of Neighboring Wi-Fi Networks on Data Throughput (Wi-Fi 네트워크간의 신호간섭 및 데이터 전송률 영향 분석)

  • Zhang, Jie;Lee, Goo Yeon;Kim, Hwa Jong
    • Journal of the Institute of Electronics and Information Engineers
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    • v.49 no.11
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    • pp.17-23
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    • 2012
  • Products of Wi-Fi devices in recent years offer higher throughput and have longer signal coverage which also bring unnecessary signal interference to neighboring wireless networks, and result in decrease of network throughput. Signal interference is an inevitable problem because of the broadcast nature of wireless transmissions. However it could be optimized by reducing signal coverage of wireless devices. On the other hand, smaller signal coverage also means lower transmission power and lower data throughput. Therefore, in this paper, we analyze the relationship among signal strength, coverage, interference and network throughput by simulation on various network topology.

Data Transmission Method using Broadcasting in Bluetooth Low Energy Environment (저전력 블루투스 환경에서 브로드캐스팅을 이용한 데이터전송 방법)

  • Jang, Rae-Young;Lee, Jae-Ung;Jung, Sung-Jae;Soh, Woo-Young
    • Journal of Digital Contents Society
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    • v.19 no.5
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    • pp.963-969
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    • 2018
  • Wi-Fi and Bluetooth technologies are perhaps the most prominent examples of wireless communication technologies used in the Internet of Things (IoT) environment. Compared to widely used Wi-Fi, Bluetooth technology has some flaws including 1:1 connection (one-way) between Master and Slave, slow transmission, and limited connection range; Bluetooth is mainly used for connecting audio devices. Since the release of Bluetooth Low Energy (BLE), some of the flaws of Bluetooth technology have been improved but it still failed to become a competitive alternative of Wi-Fi. This paper presents a method of data transmission through broadcasting in BLE and demonstrates its performance, one-to-many data transfer result. The Connection-Free Data Transmission proposed in this paper will hopefully be utilized in special circumstances requiring 1:N data transmission or disaster security network.

Design and Implementation of LED Streetlight System for Remote Control and Wi-Fi Service (원격제어 및 Wi-Fi 서비스가 가능한 LED 가로 등 시스템 설계 및 구현)

  • Lee, Sang Hoon;Shin, Soo Young
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.40 no.1
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    • pp.233-239
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    • 2015
  • The demand of remote control and monitoring for efficiency and applications of LED streetlight is increasing continuously because the demand of LED streetlight was increase last few years. Existing street light remote control system is wired using a power line network. The wireless connection exists, but due to its low data transmission rate, it cannot support specialized applications. It can only support simple control and monitoring. In this paper, we propose a system that uses a IEEE 802.11s wireless mesh network based on WLAN, as a backbone network for remote control and monitoring of the LED street lights along with other specialized applications. Using the wireless mesh network for remote control and monitoring the LED street lights, the same can be used to act like a public Wi-Fi access point. We have designed Wi-Fi integrated LED streetlight controller and implemented our system. We evaluated the performance of our system on a real test bed. Our proposed system is expected to perform the role of a U-city infrastructure by utilizing the wireless mesh network.

Indoor positioning method using WiFi signal based on XGboost (XGboost 기반의 WiFi 신호를 이용한 실내 측위 기법)

  • Hwang, Chi-Gon;Yoon, Chang-Pyo;Kim, Dae-Jin
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.1
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    • pp.70-75
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    • 2022
  • Accurately measuring location is necessary to provide a variety of services. The data for indoor positioning measures the RSSI values from the WiFi device through an application of a smartphone. The measured data becomes the raw data of machine learning. The feature data is the measured RSSI value, and the label is the name of the space for the measured position. For this purpose, the machine learning technique is to study a technique that predicts the exact location only with the WiFi signal by applying an efficient technique to classification. Ensemble is a technique for obtaining more accurate predictions through various models than one model, including backing and boosting. Among them, Boosting is a technique for adjusting the weight of a model through a modeling result based on sampled data, and there are various algorithms. This study uses Xgboost among the above techniques and evaluates performance with other ensemble techniques.

Cross-Technology Localization: Leveraging Commodity WiFi to Localize Non-WiFi Device

  • Zhang, Dian;Zhang, Rujun;Guo, Haizhou;Xiang, Peng;Guo, Xiaonan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.11
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    • pp.3950-3969
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    • 2021
  • Radio Frequency (RF)-based indoor localization technologies play significant roles in various Internet of Things (IoT) services (e.g., location-based service). Most such technologies require that all the devices comply with a specified technology (e.g., WiFi, ZigBee, and Bluetooth). However, this requirement limits its application scenarios in today's IoT context where multiple devices complied with different standards coexist in a shared environment. To bridge the gap, in this paper, we propose a cross-technology localization approach, which is able to localize target nodes using a different type of devices. Specifically, the proposed framework reuses the existing WiFi infrastructure without introducing additional cost to localize Non-WiFi device (i.e., ZigBee). The key idea is to leverage the interference between devices that share the same operating frequency (e.g., 2.4GHz). Such interference exhibits unique patterns that depend on the target device's location, thus it can be leveraged for cross-technology localization. The proposed framework uses Principal Components Analysis (PCA) to extract salient features of the received WiFi signals, and leverages Dynamic Time Warping (DTW), Gradient Boosting Regression Tree (GBRT) to improve the robustness of our system. We conduct experiments in real scenario and investigate the impact of different factors. Experimental results show that the average localization accuracy of our prototype can reach 1.54m, which demonstrates a promising direction of building cross-technology technologies to fulfill the needs of modern IoT context.

Spatial Location Modeling for the Efficient Placements of the Super WiFi Facilities Utilizing White Spaces (화이트 스페이스를 활용한 슈퍼 와이파이 시설의 효율적 배치를 위한 공간 입지 모델링)

  • Lee, Gunhak;Kim, Kamyoung
    • Journal of the Korean Geographical Society
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    • v.48 no.2
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    • pp.259-271
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    • 2013
  • This paper addresses the efficient facility placements to adopt a super WiFi network, taking significant considerations as the next generation 'information highway'. Since the super WiFi has a wider geographic coverage by utilizing the white spaces of TV broadcasting which are empty and available frequencies for the wireless communications, it would play an important role in releasing digital divide of the internet access for low populated or mountainous areas. The purpose of this paper is to explore systematic and efficient spatial plans for the super WiFi. For doing this, we applied optimal location covering models to Gurye-gun, Jeonlanamdo. From the application, we presented optimal locations for super WiFi facilities and significant analytical results, such as the tradeoff between the number of facilities and coverage and marginal coverage for establishing super WiFi network. The results of this research would be usefully utilized for decision makers who wish to adopt a super WiFi, to extend wireless networks in a city or build a regional infrastructure of wireless facilities.

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Implementation of an LTCC RF Front-End Module Considering Parasitic Elements for Wi-Fi and WiMAX Applications (기생 성분을 고려한 Wi-Fi와 WiMAX용 LTCC 무선 전단부 모듈의 구현)

  • Kim, Dong-Ho;Baek, Gyung-Hoon;Kim, Dong-Su;Ryu, Jong-In;Kim, Jun-Chul;Park, Jong-Chul;Park, Chong-Dae
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.21 no.4
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    • pp.362-370
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    • 2010
  • In this paper, a compact RF Front-end module for Wireless Fidelity(Wi-Fi) and Worldwide Interoperability for Microwave Access(WiMAX) applications is realized by low temperature co-fired ceramic(LTCC) technology. The RF Front-end module is composed of three LTCC band-pass filters, a Film Bulk Acoustic Resonator(FBAR) filter, fully embedded matching circuits, an SPDT switch for mode selection, an SPDT switch for Tx/Rx selection, and an SP4T switch for band selection. The parasitic elements of 0.2~0.3 pF are generated by the structure of stacking in the top pad pattern for DC block capacitor of SPDT switch for mode selection. These kinds of parasitic elements break the matching characteristic, and thus, the overall electrical performance of the module is degraded. In order to compensate it, we insert a parallel lumped-element inductor on capacitor pad pattern for DC block, so that we obtain the optimized performance of the RF Front-end module. The fabricated RF front-end module has 12 layers including three inner grounds and it occupies less than $6.0mm{\times}6.0mm{\times}0.728mm$.

Mobility-Aware Interference Avoidance Scheme for Vehicular WLANs

  • Park, Lai-Hyuk;Na, Woong-Soo;Lee, Gun-Woo;Lee, Chang-Ha;Park, Chang-Yun;Cho, Yong-Soo;Cho, Sung-Rae
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.5 no.12
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    • pp.2272-2293
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    • 2011
  • Communication technology of future networks is predicted to provide a large variety of services including WiFi service in vehicular network. In this paper, we assume that vehicles are embedded with WiMAX antenna and in-vehicle terminals receive WiMAX traffic through WiFi interface. This assumption will impose severe performance degradation due to interference among mobile BSSs when WiFi access points (APs) are densely located. Existing interference avoidance techniques cannot properly resolve the above problems and do not cope with dynamically moving vehicular scenario since they focus only on the fixed network topology. In this paper, we propose a mobility-aware interference avoidance scheme for WiFi services. The proposed scheme computes the interference duration by exploiting mobility vector and location information of neighboring APs. If the interference duration is not negligible, our scheme searches for another channel in order to avoid interference. However, if the interference duration is negligible, our scheme continues to use the channel to reduce switching overhead. To measure the effectiveness of the proposed scheme against other existing techniques, we evaluated performance by using OPNET simulator. Through the simulation, we obtained about 60% reduction in the maximum interference frequency and about 67% improvement in throughput. Furthermore, our scheme provides fair channel usage.

Dual-Band Antenna Design for LTE/Wi-Fi for Maritime Broadband Communication (해상 광대역 통신을 위한 LTE/Wi-Fi용 이중대역 안테나 설계)

  • Oh, Mal-Geun
    • Journal of Advanced Navigation Technology
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    • v.22 no.6
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    • pp.665-669
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    • 2018
  • In this paper, we design an antenna for LTE / Wi-Fi communication that operates in 2.65 GHz and 5 GHz band for small-sized broadband communication antenna that can be used in the sea. Microstrip patch antennas were chosen to improve the bandwidth. The slot width, length, and transmission line width were calculated using the theoretical formula for each step. In addition, we designed a microstrip antenna using CST Microwave Studio 2014 program that can design 3D. Simulation results show that the reflection lossis -12.712 dB at 2.65 GHz and -16.583 dB at 5 GHz. The gain was 1.738 dBi at 2.65 GHz and 3.284 dBi at 5 GHz. In this paper, we propose a dual-band antenna for LTE / Wi-Fi, which can be used in maritime environments, which is worse than terrestrial communication, because of differences in communication speed and communication stability compared with those used on land.

AWiFi Weather Map Using BigData Analysis (빅데이터 분석을 이용한 WiFi 기상도)

  • Ahn, Bo-Kyung;Park, Jung-Hyun;Kim, Ha-Young;Kim, Soo-Ji;Jung, In-Hwan
    • Proceedings of the Korea Information Processing Society Conference
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    • 2015.10a
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    • pp.305-306
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    • 2015
  • 최근에 WIFI를 사용하여 무선 인터넷을 접속하는 기기들의 증가로 인터넷을 사용하는 기기는 갈수록 증가하고 있다. 이에 맞춰 유무선 공유기의 수도 증가하고 있다. 본 논문에서는 핸드폰 사용자들이 WiFi 환경하에서 최적의 AP에 접속할 수 있도록 WiFi 기상도를 설계하고 구현하였다. 구현된 앱을 활용하여 사용자들은 주변의 AP 정보를 서버에 전달하는 센서 역할을 하며 다수의 사용자들에 의해 수집된 정보는 빅데이터 분석을 통해 최적의 AP를 선정할수 있는 정보로 분석되어 사용자들이 최적의 AP에 접속할 수 있도록 활용될 수 있다.