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Minimizing Emissions in Directional and Highly Mobile Cognitive Radio Networks
Minimizing Emissions in Directional and Highly Mobile Cognitive Radio Networks
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20260202105600
- ISBN
- 9798265402738
- DDC
- 330
- 저자명
- Watters, Kyle C.
- 서명/저자
- Minimizing Emissions in Directional and Highly Mobile Cognitive Radio Networks
- 발행사항
- [Sl] : Georgia Institute of Technology, 2024
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- 형태사항
- 291 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 87-06, Section: B.
- 주기사항
- Advisor: Coyle, Edward.
- 학위논문주기
- Thesis (Ph.D.)--Georgia Institute of Technology, 2024.
- 초록/해제
- 요약The objective of the proposed research is focused on low probability of detection (LPD) applications by minimizing energy transmission and transmission in directions not advantageous to intended receivers based on cognitive networking techniques via multi-hop routing, adaptive power control, and directional antenna command and control loops. The goal is to develop distributed cognitive algorithms operating in cognitive nodes to intelligently maintain throughput and connectivity while accounting for time varying mission requirements. Additional time and location dependencies are considered such as the position of observers.Geographic position data from the network is used to predict changes in the topology and estimate the multi-objective costs of muli-hop paths in the network. An emphasis is placed on fast approximations to ensure real-time implementation. The set of Pareto-optimal paths are found based on the estimated costs, allowing the node to select the best path for any cost function.
- 일반주제명
- Aircraft
- 일반주제명
- Radio networks
- 일반주제명
- Antennas
- 일반주제명
- Computer science
- 기본자료저록
- Dissertations Abstracts International. 87-06B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■020 ▼a9798265402738
■035 ▼a(MiAaPQ)AAI32315969
■035 ▼a(MiAaPQ)GeorgiaTech75291
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a330
■1001 ▼aWatters, Kyle C.
■24510▼aMinimizing Emissions in Directional and Highly Mobile Cognitive Radio Networks
■260 ▼a[Sl]▼bGeorgia Institute of Technology▼c2024
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2024
■300 ▼a291 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 87-06, Section: B.
■500 ▼aAdvisor: Coyle, Edward.
■5021 ▼aThesis (Ph.D.)--Georgia Institute of Technology, 2024.
■520 ▼aThe objective of the proposed research is focused on low probability of detection (LPD) applications by minimizing energy transmission and transmission in directions not advantageous to intended receivers based on cognitive networking techniques via multi-hop routing, adaptive power control, and directional antenna command and control loops. The goal is to develop distributed cognitive algorithms operating in cognitive nodes to intelligently maintain throughput and connectivity while accounting for time varying mission requirements. Additional time and location dependencies are considered such as the position of observers.Geographic position data from the network is used to predict changes in the topology and estimate the multi-objective costs of muli-hop paths in the network. An emphasis is placed on fast approximations to ensure real-time implementation. The set of Pareto-optimal paths are found based on the estimated costs, allowing the node to select the best path for any cost function.
■590 ▼aSchool code: 0078.
■650 4▼aAircraft
■650 4▼aRadio networks
■650 4▼aAntennas
■650 4▼aComputer science
■653 ▼aLow probability of detection
■653 ▼aCognitive radio networks
■690 ▼a0984
■71020▼aGeorgia Institute of Technology.
■7730 ▼tDissertations Abstracts International▼g87-06B.
■790 ▼a0078
■791 ▼aPh.D.
■792 ▼a2024
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17360645▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
