자료유형 | E-Book |
---|---|
개인저자 | Li, Yimei. |
단체저자명 | Purdue University. Computer Sciences. |
서명/저자사항 | Data Compression in Multi-hop Large-scale Wireless Sensor Networks. |
발행사항 | [S.l.] : Purdue University., 2018 |
발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
형태사항 | 125 p. |
소장본 주기 | School code: 0183. |
ISBN | 9780438154421 |
일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Advisers: Yao Liang |
요약 | Data collection from a multi-hop large-scale outdoor WSN deployment for environmental monitoring is full of challenges due to the severe resource constraints on small battery-operated motes (e.g., bandwidth, memory, power, and computing capacity |
요약 | For some WSN scenarios, CS may not be applicable. Therefore we also design a generalized predictive coding framework for unified lossless and lossy data compression. In addition, we devise a novel algorithm for lossless compression to significan |
일반주제명 | Computer science. |
언어 | 영어 |
기본자료 저록 | Dissertation Abstracts International79-12B(E). Dissertation Abstract International |
대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14997675 |
인쇄
No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
---|---|---|---|---|---|---|---|---|
1 | WE00027395 | 004 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |