Announcement for Downloading full text filePlease respect the Copyright Act.
All digital full text dissertation and theses from this website are authorized the copyright owners. These copyrighted full-text dissertation and theses can be only used for academic, research and non-commercial purposes. Users of this website can search, read, and print for personal usage. In respect of the Copyright Act of the Republic of China, please do not reproduce, distribute, change, or edit the content of these dissertations and theses without any permission. Please do not create any work based upon a pre-existing work by reproduction, Adaptation, Distribution or other means.
URN etd-0715108-165651 Statistics This thesis had been viewed 2886 times. Download 1940 times. Author Chun-chu Chen Author's Email Address No Public. Department Information Management Year 2007 Semester 2 Degree Master Type of Document Master's Thesis Language Chinese&English Page Count 66 Title A Data Storage and Range Query Mechanism for
Multi-Dimensional Attributes in Wireless Sensor
Keyword data-centric storage multi-dimensional query wireless sensor networks wireless sensor networks multi-dimensional query data-centric storage Abstract A wireless sensor network is an emerging technology that enables remote monitoring
of larger scale. Data-centric storage is an effective and important technique in the wireless
sensor networks. It stores the sensing events according to their attributes values of events
by mapping them to some nodes in order to avoid routing all the values outside the
network and flooding the queries. There are many attributes with range value in an event,
thus, the sensor will use the multi-dimensional range query to retrieval data. In this paper,
we propose a data storage and range query method for multi-dimensional attributes in
wireless sensor networks. The main idea is to map multi-dimensional events to their
corresponding range spaces and to build an in-network distributed data structure for
efficiently getting the data of multi-dimensional range queries. Simulations have shown
that our proposed scheme can reduce energy consumption.
Advisor Committee Wen-hwa Liao - advisor
Files Date of Defense 2008-06-25 Date of Submission 2008-07-15