• 제목/요약/키워드: Internet of Drone

검색결과 79건 처리시간 0.025초

Intelligent Robust Base-Station Research in Harsh Outdoor Wilderness Environments for Wildsense

  • Ahn, Junho;Mysore, Akshay;Zybko, Kati;Krumm, Caroline;Lee, Dohyeon;Kim, Dahyeon;Han, Richard;Mishra, Shivakant;Hobbs, Thompson
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제15권3호
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    • pp.814-836
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    • 2021
  • Wildlife ecologists and biologists recapture deer to collect tracking data from deer collars or wait for a drop-off of a deer collar construction that is automatically detached and disconnected. The research teams need to manage a base camp with medical trailers, helicopters, and airplanes to capture deer or wait for several months until the deer collar drops off of the deer's neck. We propose an intelligent robust base-station research with a low-cost and time saving method to obtain recording sensor data from their collars to a listener node, and readings are obtained without opening the weatherproof deer collar. We successfully designed the and implemented a robust base station system for automatically collecting data of the collars and listener motes in harsh wilderness environments. Intelligent solutions were also analyzed for improved data collections and pattern predictions with drone-based detection and tracking algorithms.

A Survey on UAV Network for Secure Communication and Attack Detection: A focus on Q-learning, Blockchain, IRS and mmWave Technologies

  • Madhuvanthi T;Revathi A
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제18권3호
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    • pp.779-800
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    • 2024
  • Unmanned Aerial Vehicle (UAV) networks, also known as drone networks, have gained significant attention for their potential in various applications, including communication. UAV networks for communication involve using a fleet of drones to establish wireless connectivity and provide communication services in areas where traditional infrastructure is lacking or disrupted. UAV communication networks need to be highly secured to ensure the technology's security and the users' safety. The proposed survey provides a comprehensive overview of the current state-of-the-art UAV network security solutions. In this paper, we analyze the existing literature on UAV security and identify the various types of attacks and the underlying vulnerabilities they exploit. Detailed mitigation techniques and countermeasures for the protection of UAVs are described in this paper. The survey focuses on the implementation of novel technologies like Q-learning, blockchain, IRS, and mmWave. This paper discusses network simulation tools that range in complexity, features, and programming capabilities. Finally, future research directions and challenges are highlighted.

Mathematical modeling for flocking flight of autonomous multi-UAV system, including environmental factors

  • Kwon, Youngho;Hwang, Jun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제14권2호
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    • pp.595-609
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    • 2020
  • In this study, we propose a decentralized mathematical model for predictive control of a system of multi-autonomous unmanned aerial vehicles (UAVs), also known as drones. Being decentralized and autonomous implies that all members make their own decisions and fly depending on the dynamic information received from other unmanned aircraft in the area. We consider a variety of realistic characteristics, including time delay and communication locality. For this flocking flight, we do not possess control for central data processing or control over each UAV, as each UAV runs its collision avoidance algorithm by itself. The main contribution of this work is a mathematical model for stable group flight even in adverse weather conditions (e.g., heavy wind, rain, etc.) by adding Gaussian noise. Two of our proposed variance control algorithms are presented in this work. One is based on a simple biological imitation from statistical physical modeling, which mimics animal group behavior; the other is an algorithm for cooperatively tracking an object, which aligns the velocities of neighboring agents corresponding to each other. We demonstrate the stability of the control algorithm and its applicability in autonomous multi-drone systems using numerical simulations.

컨볼루션 신경망을 기반으로 한 드론 영상 분류 (Drone Image Classification based on Convolutional Neural Networks)

  • 주영도
    • 한국인터넷방송통신학회논문지
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    • 제17권5호
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    • pp.97-102
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    • 2017
  • 최근 고해상도 원격탐사 자료의 분류방안으로 컨볼루션 신경망(Convolutional Neural Networks)을 비롯한 딥 러닝 기법들이 소개되고 있다. 본 논문에서는 드론으로 촬영된 농경지 영상의 작물 분류를 위해 컨볼루션 신경망을 적용하여 가능성을 검토하였다. 농경지를 논, 고구마, 고추, 옥수수, 깻잎, 과수, 비닐하우스로 총 7가지 클래스로 나누고 수동으로 라벨링 작업을 완료했다. 컨볼루션 신경망 적용을 위해 영상 전처리와 정규화 작업을 수행하였으며 영상분류 결과 98%이상 높은 정확도를 확인할 수 있었다. 본 논문을 통해 기존 영상분류 방법들에서 딥 러닝 기반 영상분류 방법으로의 전환이 빠르게 진행될 것으로 예상되며, 그 성공 가능성을 확신할 수 있었다.

IoD 환경에서 MEC를 활용한 U2U 인증에서 보안 취약점 분석 (Analysis of Security Vulnerability in U2U Authentication Using MEC in IoD Environment)

  • 최재현;이상훈;정익래;변진욱
    • 정보보호학회논문지
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    • 제31권1호
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    • pp.11-17
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    • 2021
  • 최근 사물인터넷(IoT)의 발달과 드론을 활용한 서비스의 증가로 인해 IoD에 대한 연구가 활발히 진행 중이다. 드론은 연산능력이 약하고 저장소의 크기가 작은 자원적인 한계를 갖고 있으며 드론 간 통신 시 정당한 개체 간 인증을 거친 후 데이터를 주고받는다. 드론은 위치, 이동 경로와 같은 민감 정보를 포함하기 때문에 추적성으로부터 안전해야 한다. 본 논문에서는 기존 IoD 연구에서 가명 및 인증서 사용으로 발생할 수 있는 치명적인 보안 취약점을 지적하고 해결책을 제안한다.

임무 기반 드론의 최적성능 및 소요량 분석 방법론 연구 (The Study on analysis methodology of optimal performance and quantity for Mission-Based drones)

  • 하영석
    • 인터넷정보학회논문지
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    • 제21권1호
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    • pp.231-236
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    • 2020
  • 본 논문은 드론 운영개념에 따라 체공시간, 총 운영시간, 적정 소요량 등 작전운용성능과 소요량의 과학적 검증이 필요하나, 이를 체계적으로 분석할 수 있는 방법론이 없어 본 연구를 수행하였다. 본 연구는 임무기반한 모의분석을 통한 검증 6단계의 분석 방법론 연구 및 제안을 통해 드론의 운용개념 기반의 최적 ROC와 소요량을 제시할 수 있으며, 그 결과 기술적, 경제적 효과를 제시 하였다.

React Native and Android Mobile Apps for Smart Tourism Information Service to FITs

  • Cho, Hyun-Ji;Lee, Jin-Yi;Park, Tae-Rang;Jwa, Jeong-Woo
    • International Journal of Internet, Broadcasting and Communication
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    • 제14권2호
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    • pp.63-69
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    • 2022
  • We develop a smart tourism information system that provides smart tourism services to free independent tourists (FITs) through various content distribution channels such as mobile apps, Instagram, YouTube, and chatbots. The smart tourism information system provides location and storytelling-based tourism information, accommodation, restaurant information, and recommended travel products so that tourists can create a travel itinerary based on personalized situation awareness. The smart tourism information system also provides smart tourism services using commercial maps, navigation, and weather forecast APIs from the Korea Meteorological Administration to provide smart tour guide services to tourists who travel according to the travel itinerary. In this paper, we develop the React Native app that provides smart tourism services provided by the smart tourism information system. The smart tourism React Native app has implemented two methods: a method that directly connects to the smart tourism information system, and a method that provides services by interworking through the GraphQL Query Language developed by META (Facebook). The smart tourism React Native app implements OSMU (One Source Multi-use) by providing tourism information from mobile apps, photos from Instagram, and drone videos from YouTube as an integrated UI.

3GPP 5G Core Network: An Overview and Future Directions

  • Husain, Syed;Kunz, Andreas;Song, JaeSeung
    • Journal of information and communication convergence engineering
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    • 제20권1호
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    • pp.8-15
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    • 2022
  • The new 5G radio technology (NR) can provide ultra-reliable low latency communications. The supporting 5G network infrastructure will move away from the previous point-to-point network architecture to a service-based architecture. 5G can provide three new things, i.e., wider channels, lower latency and more bandwidth. These will allow 5G to support three main types of connected services, including enhanced mobile broadband, mission-critical communications, and the massive Internet of Things (IoT). In 2015, the 5th generation (5G) mobile communication was officially approved by the International Telecommunication Union (ITU) as IMT-2020. Since then, 3GPP, the international organization responsible for 5G standards, is actively developing specifications for 5G technologies. 3GPP Release 15 provides the first full set of 5G standards, and the evolution and expansion of 5G are now being standardized in Release 16 and 17, respectively. This paper provides an overview of 3GPP 5G technologies and key services.

Internet of Drone: Identity Management using Hyperledger Fabric Platforms

  • Etienne, Igugu Tshisekedi;Kang, Sung-Won;Rhee, Kyung-hyune
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2022년도 춘계학술발표대회
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    • pp.204-207
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    • 2022
  • The uses of drones are increasing despite the fact that many of us are still skeptical. In the near future, the data that will be created and used by them will be very voluminous, hence the need to find an architecture that allows good identity management and access control in a decentralized way while guaranteeing security and privacy. In this article, we propose an architecture using hyperledger fabric blockchain platform which will manage the identity in a secure way starting with the registration of the drones on the network then an access control thanks to Public Key Infrastructure (PKI) and membership service provider (MSP) to enable decision-making within the system.

드론 임베디드 시스템 및 네트워크 프로토콜 기반 보안위협 동향 (Security Threat Trend based on Drone Embedded System and Network Protocol)

  • 박상현;정인수;곽진
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2023년도 춘계학술발표대회
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    • pp.190-191
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    • 2023
  • IoT(Internet of Things) 기술을 기반으로 한 드론은 사용자의 요청에 따라 데이터 처리, 수집, 송·수신 등에 고도화된 ICT(Information and Communications Technology) 기술을 활용하고 있다. 또한, 드론은 ICT 기술이 발전함에 따라 문화, 소방, 국방 등 다양한 분야에 적용되어 사용자에게 편의를 제공하고 있다. 그러나, 드론에 적용되는 ICT 기술과 드론에 탑재되는 기술들이 고도화됨에 따라 드론 모듈 내 펌웨어 및 무선 네트워크를 대상으로 한 보안위협이 증가하고 있다. 따라서 본 논문은 드론의 보안위협에 대응하기 위하여 드론 임베디드 시스템 및 네트워크 프로토콜을 대상으로한 최신 보안위협 동향을 분석한다.