語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Compression, correlation and detecti...
~
Tang, Caimu.
FindBook
Google Book
Amazon
博客來
Compression, correlation and detection for energy efficient wireless sensor networks.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Compression, correlation and detection for energy efficient wireless sensor networks./
作者:
Tang, Caimu.
面頁冊數:
173 p.
附註:
Source: Dissertation Abstracts International, Volume: 66-11, Section: B, page: 6080.
Contained By:
Dissertation Abstracts International66-11B.
標題:
Computer Science. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3196901
ISBN:
0542427745
Compression, correlation and detection for energy efficient wireless sensor networks.
Tang, Caimu.
Compression, correlation and detection for energy efficient wireless sensor networks.
- 173 p.
Source: Dissertation Abstracts International, Volume: 66-11, Section: B, page: 6080.
Thesis (Ph.D.)--University of Southern California, 2005.
Wireless sensor networks are enabling embedded sense-and-respond applications that were previously unimaginable. A high degree of spatial and temporal correlation exists in sensor readings. Data communication and storage costs can be reduced by effectively exploiting these correlations which can achieve high compression. Another source of energy savings is duty-cycling, which aims to extend the system lifetime by reducing the fraction of time a sensor node is on.
ISBN: 0542427745Subjects--Topical Terms:
626642
Computer Science.
Compression, correlation and detection for energy efficient wireless sensor networks.
LDR
:03199nmm 2200301 4500
001
1818796
005
20061003090432.5
008
130610s2005 eng d
020
$a
0542427745
035
$a
(UnM)AAI3196901
035
$a
AAI3196901
040
$a
UnM
$c
UnM
100
1
$a
Tang, Caimu.
$3
1908108
245
1 0
$a
Compression, correlation and detection for energy efficient wireless sensor networks.
300
$a
173 p.
500
$a
Source: Dissertation Abstracts International, Volume: 66-11, Section: B, page: 6080.
500
$a
Adviser: Cauligi S. Raghavendra.
502
$a
Thesis (Ph.D.)--University of Southern California, 2005.
520
$a
Wireless sensor networks are enabling embedded sense-and-respond applications that were previously unimaginable. A high degree of spatial and temporal correlation exists in sensor readings. Data communication and storage costs can be reduced by effectively exploiting these correlations which can achieve high compression. Another source of energy savings is duty-cycling, which aims to extend the system lifetime by reducing the fraction of time a sensor node is on.
520
$a
In this research, we devised algorithms and protocols to improve energy efficiency of wireless sensor networks. The focus was on three related areas: (i) compression of sensor readings, (ii) correlation of sensor readings, (iii) detection and cueing of events. Our techniques made it possible to keep the average power consumption for a typical target tracking application in the 10-mW regime.
520
$a
The results can be summarized as follows. Our compression scheme for exploiting the spatio-temporal correlations uses set-partitioning on wavelet transformed data to extract correlated bitplanes. The spatial correlation is further exploited by the low-density parity-check based Slepian-Wolf codes at the bitplane levels. This scheme has also been extended to support the source broadcast problem where one sensor needs to send its readings to multiple receivers. A power aware joint coding scheme for correlated sensor readings has been developed that takes into account transmission power, channel coding rate and packet retransmission to minimize energy per transmitted bit. It is crucial for distributed compression to be able to correlate sensor readings. We have developed an energy efficient scheme to quantify and track spatial correlation of sensor readings. This scheme uses linear prediction to establish initial correlation and tracks the correlation using a Kalman-filter based approach. Finally, a tripwire cueing scheme has been developed, which uses detection predicates to wake up signal-processing nodes only when necessary. This multi-hop wake-up protocol enables a two-tier heterogeneous sensor network for greater energy savings, and coupled with a distributed two-stage detection algorithm, it can solve both the false alarm problem and the exposed alarm problem.
590
$a
School code: 0208.
650
4
$a
Computer Science.
$3
626642
650
4
$a
Engineering, Electronics and Electrical.
$3
626636
690
$a
0984
690
$a
0544
710
2 0
$a
University of Southern California.
$3
700129
773
0
$t
Dissertation Abstracts International
$g
66-11B.
790
1 0
$a
Raghavendra, Cauligi S.,
$e
advisor
790
$a
0208
791
$a
Ph.D.
792
$a
2005
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3196901
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9209659
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入