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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2012.11
- 수록면
- 2,507 - 2,510 (4page)
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초록· 키워드
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The past few years have witnessed increased interest in large-scale Industrial Wireless Sensor Network(WSN). General Industrial WSN consists of a large number of low-cost, low power, and short RF range sensor nodes because of the cost saving. In industrial applications, sensor nodes are statically deployed and left unattended to continuously report sensing data(e.g. temperature, pressure, and humidity) to the Base Station(BS). Therefore, energy efficiency is a key challenge in the design and operation Industrial WSN. One of the major reason for worse energy efficiency is the traffic concentration on a small number of sensor nodes. Furthermore, several applications in industrial area require the bounded delay, so the proposed scheme have to support it. In these respect, node clustering can be a efficient solution to solve energy problem and satisfy delay bound in industrial WSN. In this paper we propose a novel clustering algorithm based on information entropy.
목차
Abstract
1. 서론
2. 관련 연구
3. 제안 방법
4. 실험 결과
5. 결론
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UCI(KEPA) : I410-ECN-0101-2014-550-000183680