인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
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
Wireless Sensor Networks (WSNs) are composed of small, cost-effective sensing nodes that are primarily employed for the collection of environmental data. These networks are integral to various applications including industrial pollution monitoring, disaster management, and air quality regulation. However, WSNs encounter significant challenges, such as energy efficiency, end-to-end delay, and packet loss during data transmission. Existing methodologies often fall short in optimizing the network lifespan while ensuring reliable data delivery. To address these limitations, this study introduces FLPSO-AMPS, a novel Fuzzy Logic-based Particle Swarm Optimization (FLPSO) approach aimed at enhancing energy-efficient routing in WSN-based Air Pollution Monitoring Systems (APMS) for Tier-2 smart cities. The proposed approach leverages fuzzy logic principles combined with PSO to intelligently select optimal routing paths, thereby ensuring minimal energy consumption and enhanced network longevity. Unlike conventional methodologies, FLPSO-AMPS incorporates real-time pollutant data collection and mobility-aware optimization to improve network performance. The effectiveness of FLPSO-AMPS was validated through extensive simulations, demonstrating superior performance over existing approaches, particularly with improvements of 10% in energy efficiency, 15% in task delay, 24.5% in packet delivery ratio (PDR), 11.5% in packet loss ratio (PLR), and 20.1% in throughput. These findings underscore the potential of FLPSO-AMPS in establishing an intelligent, resource-efficient air quality monitoring framework for smart cities. Future research will explore security enhancements to safeguard data transmissions in APMS networks.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
최근 본 자료 전체보기
