東華大學圖書館 |

語系: 繁體中文

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

Building efficient wireless infrastr...

Sheng, Bo.

FindBook

Google Book

Amazon

博客來

Building efficient wireless infrastructures for pervasive computing environments.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Building efficient wireless infrastructures for pervasive computing environments./
作者:	Sheng, Bo.
面頁冊數:	256 p.
附註:	Source: Dissertation Abstracts International, Volume: 71-04, Section: B, page: 2507.
Contained By:	Dissertation Abstracts International71-04B.
標題:	Information Technology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3405097
ISBN:	9781109700886

Building efficient wireless infrastructures for pervasive computing environments.
Sheng, Bo.

Building efficient wireless infrastructures for pervasive computing environments. - 256 p.

Source: Dissertation Abstracts International, Volume: 71-04, Section: B, page: 2507.

Thesis (Ph.D.)--The College of William and Mary, 2010.

Pervasive computing is an emerging concept that thoroughly brings computing devices and the consequent technology into people's daily life and activities. Most of these computing devices are very small, sometimes even "invisible", and often embedded into the objects surrounding people. In addition, these devices usually are not isolated, but networked with each other through wireless channels so that people can easily control and access them. In the architecture of pervasive computing systems, these small and networked computing devices form a wireless infrastructure layer to support various functionalities in the upper application layer.

ISBN: 9781109700886Subjects--Topical Terms:

1030799
Information Technology.

Building efficient wireless infrastructures for pervasive computing environments.
LDR:03548nam 2200301 4500 001 1402142
005 20111028105734.5
008 130515s2010 ||||||||||||||||| ||eng d
020 $a 9781109700886
035 $a (UMI)AAI3405097
035 $a AAI3405097
040 $a UMI $c UMI
100 1 $a Sheng, Bo. $3 1681300
245 1 0 $a Building efficient wireless infrastructures for pervasive computing environments.
300 $a 256 p.
500 $a Source: Dissertation Abstracts International, Volume: 71-04, Section: B, page: 2507.
500 $a Adviser: Qun Li.
502 $a Thesis (Ph.D.)--The College of William and Mary, 2010.
520 $a Pervasive computing is an emerging concept that thoroughly brings computing devices and the consequent technology into people's daily life and activities. Most of these computing devices are very small, sometimes even "invisible", and often embedded into the objects surrounding people. In addition, these devices usually are not isolated, but networked with each other through wireless channels so that people can easily control and access them. In the architecture of pervasive computing systems, these small and networked computing devices form a wireless infrastructure layer to support various functionalities in the upper application layer.
520 $a In practical applications, the wireless infrastructure often plays a role of data provider in a query/reply model, i.e., applications issue a query requesting certain data and the underlying wireless infrastructure is responsible for replying to the query. This dissertation has focused on the most critical issue of efficiency in designing such a wireless infrastructure. In particular, our problem resides in two domains depending on different definitions of efficiency. The first definition is time efficiency, i.e., how quickly a query can be replied. Many applications, especially real-time applications, require prompt response to a query as the consequent operations may be affected by the prior delay. The second definition is energy efficiency which is extremely important for the pervasive computing devices powered by batteries. Above all, our design goal is to reply to a query from applications quickly and with low energy cost.
520 $a This dissertation has investigated two representative wireless infrastructures, sensor networks and RFID systems, both of which can serve applications with useful information about the environments. We have comprehensively explored various important and representative problems from both algorithmic and experimental perspectives including efficient network architecture design and efficient protocols for basic queries and complicated data mining queries. The major design challenges of achieving efficiency are the massive amount of data involved in a query and the extremely limited resources and capability each small device possesses. We have proposed novel and efficient solutions with intensive evaluation. Compared to the prior work, this dissertation has identified a few important new problems and the proposed solutions significantly improve the performance in terms of time efficiency and energy efficiency. Our work also provides referrable insights and appropriate methodology to other similar problems in the research community.
590 $a School code: 0261.
650 4 $a Information Technology. $3 1030799
650 4 $a Computer Science. $3 626642
690 $a 0489
690 $a 0984
710 2 $a The College of William and Mary. $3 1018629
773 0 $t Dissertation Abstracts International $g 71-04B.
790 1 0 $a Li, Qun, $e advisor
790 $a 0261
791 $a Ph.D.
792 $a 2010
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3405097