Wireless sensor network (WSN) has very wide application foreground, but it still has some drawbacks comparing with previous self-organized networking techniques.
无线传感网络(wsn)具有十分广阔的应用前景，但以往的自组织组网方法仍有一些不足。
This paper proposes an evaluation framework for WSN (wireless sensor network) data management system, and analyzes the drawbacks of traditional methods.
提出了一个针对无线传感器网络数据管理系统的评估框架，并依此分析了传统方法的弊端。
With the development of sensors technology, Micro-Electro-Mechanism System(MEMS), modern networks and wireless communication technology, wireless sensor network (WSN) comes out and develops gradually.
无线传感器网络随着传感器技术、微机电系统、现代网络和无线通信等技术的进步孕育而生。
Composed of small wireless devices, wireless Sensor Network (WSN) plays more important role in life and manufacture, such as environment detecting, animal tracker and so on.
由小的无线设备组成的无线传感网络在生产活动中，如环境监测，动物跟踪等有着越来越重要的应用。
The system level distributed admission control scheme for wireless sensor network (WSN) in the presence of multiple applications is developed.
本文从无线传感器网络中多应用场景下的能量管理问题出发提出了一个系统级分布式接入控制策略。
Wireless sensor network (WSN) is a new data-centric and application-oriented network.
以数据为中心的面向应用的无线传感器网络是一种新型网络。
At present, because of the potential applicative value, the research on wireless sensor network (WSN) has been getting many extensive attentions.
由于无线传感器网络(wsn)潜在的应用价值，目前对它的研究受到了广泛地重视。
As the energy of the wireless sensor network node is very limited, how to efficiently use the energy to maximize the lifetime of the network is the primary challenge of WSN.
由于无线传感器网络节点能量十分有限，如何高效使用能量来最大化网络生命周期是传感器网络面临的首要挑战。
Wireless sensor network (WSN) is a research hotspot in present information technology field.
无线传感器网络(wsn)是当前信息技术领域的一个热点研究方向。
Almost all aspects of Wireless sensor network make rapid progress, but the energy remains a bottleneck in WSN research.
无线传感器网络各方面研究进展迅速，但是能量问题仍然是无线传感器网络研究的瓶颈。
Wireless Sensor Network (WSN) is a new interdisciplinary research field, which merges sensor technology, computer technology and wireless communication technology.
无线传感器网络融合了传感器技术、计算机技术和无线通信技术，是一个交叉学科的全新研究领域。
Wireless sensor network (WSN) has been attracting international attention on the research field.
在国际上无线传感器网络是备受关注的研究领域。
Wireless sensor network(WSN) is an integrated intelligent information system, which can process and transmit the gathered information.
无线传感器网络是集信息采集、信息处理和信息传输于一体的综合智能信息系统。
Wireless sensor network (WSN) is considered as one of the most important technologies in 21 centuries, which has been widely applied in the aspects of military, environment and industry.
无线传感器网络被认为是21世纪最重要的技术之一，在军事、环境、工业等领域具有相当广阔的应用。
Wireless sensor network (WSN) is a novel technology about acquiring and processing information of various objects which were monitored, so the application prospects are very broad.
无线传感器网络能够实时采集和处理各种被监测对象的信息，具有十分广阔的应用前景。
A wireless sensor network (WSN) consists of multiple sensor nodes and each sensor can sense certain physical phenomena like light, temperature or vibrations around its location.
一个无线传感器网络有很多的传感器节点组成，并且每个节点有能力传感其周围物理空间的一些属性，比如光线，温度，或者震动等等。
Data fusion technology is one of the important measures of reducing the data traffic, saving the energy of the nodes and prolonging network lifetime in wireless sensor network (WSN).
无线传感器网络中，数据融合技术是降低网络数据通信量、节省节点能耗和延长网络寿命的重要措施之一。
The accuracy of sensor data is a critical index to evaluate the performance of Wireless sensor Network (WSN). Outlier detection is a crucial but challenging issue for WSN.
数据的准确性是衡量无线传感器网络(wsn)性能的重要指标，异常数据检测是无线传感器网路面临的关键问题和主要挑战。
The Wireless Sensor Network (WSN), because of its self-organizing characteristic, robustness and huge quantity of nodes, is perfectly suitable for target tracking.
无线传感器网络由于其自组织性、鲁棒性及节点数量巨大的特点，非常适合于目标跟踪。
This paper proposes the design principle of sink node of the Wireless Sensor Network(WSN), analyzes the characteristic and requirement of the sink node, and makes the choice of devices.
研究无线传感器网络中汇聚节点的设计原则，分析汇聚节点的特性与需求，进行器件的选型。
This paper proposes a novel intelligent estimation algorithm in Wireless Sensor Network (WSN) nodes location based on Free Search (FS) to improve the precision in location estimation.
为提高无线传感器网络(wsn)的节点定位的估计精度，提出基于自由搜索优化的智能估计定位算法。
But the link quality of WSN is unstable and the network easily has nodes failures, so the data loss is an open problem in wireless sensor network.
由于低功耗无线通信不确定性、链路质量不稳定性以及节点失效等问题，传感器网络很容易导致路由数据包丢失。
For the uneven distribution and high-energy consumption problems of Wireless Sensor Network (WSN), this paper proposes a region-specific multicast routing protocol for WSN.
针对无线传感器网络(wsn)中节点分布不均和能量消耗较大的问题，提出一种面向特定区域的WSN组播路由协议。
Wireless Sensor Network is the technology with high applicability. As the basic unit, WSN node has a variety of platform solutions.
无线传感器网络是一种应用性极强的技术，作为其基本组成单元的无线传感器节点有多种节点平台解决方案。
Wireless Sensor Network(WSN) is a hot spot in research in China now. A kind of hardware and software design and implement of WSN terminal based on MSP430F1611 and CC1100 are introduced in this paper.
无线传感器网络是目前国内研究的热点，介绍了一种基于MSP430F1611单片机和CC1100射频芯片的无线传感器网络终端的软硬件设计与实现。
The traffic prediction in Wireless Sensor Network(WSN) is important to WSN management.
无线传感器网络（WSN）的流量预测研究对WSN管理有重要的意义。
In this paper, LEACH protocol, Which is one of routing protocols of Wireless Sensor Network (WSN), and its feasible improvements are introduced.
本文探讨了无线传感器网络(wsn)的一种路由协议LEACH及可行的改进。
Wireless Sensor Network (WSN) was usually vulnerable to conspiracy attack from its adversaries when using bivariate polynomial key pre-distribution protocol.
无线传感器网络在应用二元多项式密钥预分配协议时，通常容易遭受到敌方的合谋攻击。
To address this problem, a new distributed grid scanning localization algorithm is proposed for Wireless Sensor Network(WSN).
针对该问题，提出一种基于网格扫描的分布式无线传感器网络（WSN）节点定位算法。
To address this problem, a new distributed grid scanning localization algorithm is proposed for Wireless Sensor Network(WSN).
针对该问题，提出一种基于网格扫描的分布式无线传感器网络（WSN）节点定位算法。
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