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.
논문 기본 정보
- 저자정보
초록·키워드
Wireless Sensor Networks (WSN) have scarce resources, such as energy and processing power, which make energy conservation critical for enhancing network lifetime. The proposed method is an enhanced protocol that utilizes a hybrid approach combining zone-based clustering and a chain approach to increase the WSNs' lifetime. It builds upon an existing routing algorithm, EEARZC [1], which finds the optimal route to the sink using a Fuzzy Inference System to select the best Cluster Head (CH) for relaying from a pool of willing candidate CHs. The proposed approach retains these routes as chains in the network, reducing the need for frequent next-hop determination during data transfers to the sink, thereby enhancing energy conservation in nodes. Also, when a CH that is part of a chain stops relaying data to the sink, it is dynamically replaced with another CH, eliminating the need to reconstruct the entire chain. This process effectively mitigates packet losses, guaranteeing a smooth and uninterrupted data transmission flow throughout the network. The benefits include efficient energy utilization, increased data delivery, and an extended network lifetime. The performance of the proposed method was compared with other methods in three different network scenarios. The results demonstrate that it outperforms other approaches.
본문·목차
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
UCI(KEPA) : I410-151-25-02-092093189