【作者】 路晓颖；

【导师】 李敏强；

【作者基本信息】 天津大学 ， 信息管理与信息系统， 2008， 硕士

【摘要】 集成了微电子技术、计算机技术和无线通信技术的新型网络——无线传感器网络提供了一种全新的信息获取和处理方式,它由大量的传感器节点以自组网的形式构成,这些节点通过无线通信方式协作地完成分布式查询任务。近年来,传感器网络在军事国防、生物医疗、环境监测、抢险救灾等许多重要领域的应用越来越广,已成为当前的研究和应用的热点。从查询角度而言,无线传感器网络可以看作是一个以节点感知、存储数据为基础的分布式数据库系统。用户发出查询请求,传感器网络通过相应的查询处理技术,路由技术、数据融合技术,将用户感兴趣的数据经由网络发送给终端用户。由于无线传感器网络中能量和通信等方面存在着严格的资源限制,故不能将传统的分布式数据库查询技术直接应用于传感器网络。在对现有无线传感器网络查询技术分析研究的基础上,本论文关注于目前的研究较少的多查询处理问题,并依据无线传感器网络多查询处理的要求,提出了一种以节能为首要目标的新的查询架构体系(Multi-Queries Framework:MQF)。主要由分布于用户终端的窗口模块,查询服务器,历史数据库,基站的查询管理器,和节点的查询过滤器5个功能模块构成,其中查询管理器是整个体系的核心部分。在该框架下,提出了多查询的分类算法和查询融合算法。实验表明,利用本文的算法,在同等条件下,可以有效节省传感器网络能量的消耗,进而延长网络的生命周期。更多还原

【Abstract】 Wireless sensor networks (WSNs), a novel network, which integrated with micro-electronics technology, computer technology and wireless communication technology, provide a new approach to information acquisition and processing. It consists of a large number of small sensor nodes and accomplishes distributed query tasks through wireless communication collaboration among them. In recent years, it is extensively applied in military and national defense, biomedical, environmental monitoring, emergency relief, and many other important areas, and has become the hot spots of current research and application.From the query point of view, wireless sensor networks could be regarded as a distributed database system, in which the sensor nodes sense and store data. Users propose the query requests, and then the interested data is send to the end user by the corresponding query processing, routing and data aggregation techniques via network nodes. Because the sensor nodes have strict resource constraints on the energy and communication, the traditional distributed database query techniques can not be directly applied in sensor networks.After analyzing and studying on the existing query processing techniques, this thesis focuses on processing multi-queries problem which is important but without much attention paid to. So a new Multi-Queries Framework (MQF) is presented for query processing problems in this thesis with the primary purpose of energy-saving. The system is mainly composed of five function modules: Window, Query Server, History Database in User Terminals, Query Manager in base station, and Query Filters in sensors, and among the five modules, Query Manager is the core of the entire system. Under the proposed framework, the thesis discusses Multi-queries classification algorithm and Multi-queries aggregation algorithm and the simulation results show that our algorithms can effectively save the energy consumption and prolong the network lifetime on the same query conditions.更多还原