标题: 无线感测网路上省电之资料管理技术之研究
A Study of Energy Conserving Data Management Techniques over Wireless Sensor Networks
作者: 黄俊龙
Huang Jiun-Long
国立交通大学资讯工程学系(所)
公开日期: 2011
摘要: 随着无线感测网路技术的进步,未來生活环境中,将布满感测器,用以监测并搜集和生
活环境相关的资料。此外,感测器间亦会利用无线网路互相連结形成一无线感测网路。
然而无线感测网路具有低电量储存、少量记忆单元、低无线网路通讯频宽及较弱的硬体
运算能力限制。因无线感测器之限制,使得在无线感测网路上的资料处理、查询与传统
分散式系统有所不同,且这些限制使得如何在有限的资源内,提供低耗电,有效率之资
料处理与查询成为日渐重要的课题。本计画为一为期三年之计画,探讨在无线感测网路
下,如何有效率处理使用者的查询。本计画目前正在执行第一年计画,我们初步设计出
一资料传播机制,透过分配特定感测器特定的角色,以节省感测器之能源消耗并提高系
统的整体存活时间。
本计画第二年的工作重点在于设计省电的位置管理(location management)机制,目的在于
设计省电的物计位置估计查询处理方法。具体的工作内容包括(1)研发阶层式之位置伺服
器(Hierarchical Location Servers)架构;(2)设计处理估计查询之讯息流程:(3)研发位置伺
服器的移动与复制演算法及(4)设计更新讯息的多重播送(multicast)方法。在第三年里,
我们将着重于感测器读数的查询。我们将考虑在使用者能接着某种程度误差的情形下,
如何有效率地收集或查询感测器的读数。具体的工作内容包括(1)设计合适的关联性评估
公式;(2)设计感测器群集演算法;(3)设计多代表点群集演算法及(4)设计群集维持
(maintenance)机制。近年來,无論工业界或是学术界对于无线感测网路均相当的重视并
且投入大量的人力及研究,无线感测网路于农业应用极为适合,我们相信此计画之执
行,将可研发出适用于无线感测网路系统中的资料处理前瞻性技术。
The growing advance in wireless communications and electronics makes the development of
low-cost and low-power sensors possible. These sensors are usually small in size and are able
to communicate with other sensors in short distances wirelessly. A sensor network consists of
a number of sensors which cooperates with one another to accomplish some tasks. Sensors
can be deployed either in a random or in a predetermined manner. Since being self-organized,
sensors are able to form a sensor network automatically. Due to the characteristics of wireless
communication and configuration-free deployment, sensor networks are suitable for various
application areas including inventory management, product quality monitoring and disaster
area monitoring. Right now, we have developed a role-based data dissemination scheme to
reduce energy consumption on large-scale sensor networks.
In this project, we aim at designing energy-efficient data management schemes in wireless
sensor networks. Our primary goals include (1) developing a hierarchical location
management architecture, (2) devising approximate query processing schemes, and (3)
designing location server moving and replicating algorithms and (4) devising location update
mechanism. Next, by exploiting the spatial correlation among sensors, we will (1) develop a
similarity measure metric suitable for wireless sensor networks, (2) design a hybrid sensor
clustering algorithms, (3) design an algorithm to select multiple representatives for each
cluster, and (4) devise a cluster maintenance mechanism. In view of the increasing attention
on wireless sensor networks, we strongly believe this project is very timely and will deliver
results of both theoretical and practical importance.
官方说明文件#: NSC99-2221-E009-140-MY2
URI: http://hdl.handle.net/11536/98987
https://www.grb.gov.tw/search/planDetail?id=2215143&docId=354490
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