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Data Compression in Multi-hop Large-scale Wireless Sensor Networks
Data Compression in Multi-hop Large-scale Wireless Sensor Networks
- 자료유형
- 학위논문
- Control Number
- 0014997675
- International Standard Book Number
- 9780438154421
- Dewey Decimal Classification Number
- 004
- Main Entry-Personal Name
- Li, Yimei.
- Publication, Distribution, etc. (Imprint
- [Sl] : Purdue University, 2018
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2018
- Physical Description
- 125 p
- General Note
- Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
- General Note
- Advisers: Yao Liang
- Dissertation Note
- Thesis (Ph.D.)--Purdue University, 2018.
- Summary, Etc.
- 요약Data 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
- Summary, Etc.
- 요약For 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
- Subject Added Entry-Topical Term
- Computer science
- Added Entry-Corporate Name
- Purdue University Computer Sciences
- Host Item Entry
- Dissertation Abstracts International. 79-12B(E).
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:556265