인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Unmanned Aerial Vehicle (UAV)-based Flying Ad-hoc Networks (FANETs) experience frequent topology changes due to high mobility, necessitating efficient routing protocols. This study proposes the Link Quality and Energy-Aware AODV (LQE-AODV) routing protocol to enhance both energy efficiency and network stability simultaneously in FANET environments. The proposed protocol dynamically selects optimal routes by jointly considering key metrics such as Received Signal Strength Indicator (RSSI), Signal-to-Noise Ratio (SNR), and residual energy. LQE-AODV periodically collects real-time link quality and energy status information, dynamically adjusting the weightage of these factors to maximize reliability and energy efficiency. Additionally, it minimizes unnecessary route discoveries to reduce network overhead. Simulation results demonstrate that LQE-AODV significantly out- performs conventional AODV and existing link quality-based protocols in terms of packet delivery ratio (PDR), energy efficiency, and overall network lifetime. It also ensures stable connectivity and efficient energy management in high-mobility scenarios. This study highlights the potential of designing routing protocols that effectively balance energy efficiency and network performance in FANETs, offering a solid foundation for the real-world deployment of energy-efficient and stable UAV networks.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
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