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
- 자료유형
- 학위논문
- 저자정보
- 발행연도
- 2013
- 저작권
- 부산대학교 논문은 저작권에 의해 보호받습니다.
이용수0
이 논문의 연구 히스토리 (3)
2014
- 이 논문의 후속연구가 궁금하신가요?
- 연관 학술논문 또는 학술발표를 통해 보다 발전된 연구결과를 확인하실 수 있습니다.
- 이 논문의 연구 히스토리 확인하기
초록· 키워드
오류제보하기
One of the most important element on Wireless Mesh Networks(WMN) is saving battery capability to maximize the network’s lifetime and connectivity time between each nodes.
Because our WSN generally use the limited resource. and many kind of existing thesis just considered the remaining battery capability and didn’t consider the neighbor node’s capability status. If we don’t consider the neighbor node’s capability status, the node not having enough energy capability would stop its functionality, it could cause the shortage problem of network like time. So in this paper, we designed and implemented an energy efficient routing protocol for a long lived sensor network. To maximize network’s lifetime, we consider 2 kind of parameters, distances between nodes and base station, and remaining battery capability including neighbor’s capability too. and to minimize power consumption, we implemented adjusting RF power dynamically according to the distance that measured by RSSI value from a received packet. Through our experiments, we could find that the proposed method lead to the improvement by 17% compared to the existing multi-hop routing algorithm in terms of lifetime.
Because our WSN generally use the limited resource. and many kind of existing thesis just considered the remaining battery capability and didn’t consider the neighbor node’s capability status. If we don’t consider the neighbor node’s capability status, the node not having enough energy capability would stop its functionality, it could cause the shortage problem of network like time. So in this paper, we designed and implemented an energy efficient routing protocol for a long lived sensor network. To maximize network’s lifetime, we consider 2 kind of parameters, distances between nodes and base station, and remaining battery capability including neighbor’s capability too. and to minimize power consumption, we implemented adjusting RF power dynamically according to the distance that measured by RSSI value from a received packet. Through our experiments, we could find that the proposed method lead to the improvement by 17% compared to the existing multi-hop routing algorithm in terms of lifetime.
목차
1. 서 론 12. 관련 연구 52.1. 기존의 에너지 효율적 계층 라우팅 프로토콜 52.2. Dash7 103. 에너지 & 거리 인지 라우팅 트리 프로토콜 163.1. 실험을 위한 네트워크 구조 163.2. 수신한 RSSI 값을 이용한 노드간 거리 추측 183.3. ADC를 이용한 배터리 잔량 측정 203.4. 거리, 배터리 잔량을 고려한 가중치 계산법 223.5. 동적 송신세기 조절을 통한 전력 소모 완화 253.6. Spanning Tree형성을 위한 프로토콜 설계 263.7. 전체 동작 매커니즘 304. 실험 및 분석 374.1. 실험 환경 소개 384.2. 실험 환경 394.3. 실험 결과 및 분석 435. 결론 및 향후 과제 496. 참고 문헌 50
최근 본 자료
댓글(0)
0