Wireless sensor network is a multi-hop wireless network which is made up of a lot of distributed smart sensor nodes.
无线传感器网络是由大量智能传感器节点组成的多跳无线网络。
A key challenge in wireless sensor networks is to achieve maximal network lifetime with dynamic power management on sensor nodes.
在无线传感器网络中，如何动态地管理能量，最大限度地延长网络的生命周期是一个关键的问题。
As sensor nodes are energy limited, saving energy is the primary issue in designing Medium Access Control (MAC) protocols in sensor networks.
传感器节点能量受限，节能是传感器网络中媒体访问控制(MAC)协议设计的首要问题。
As the energy of sensor nodes mainly is consumed in transmitting data, reducing the amount of data transmitted can extend the network lifetime.
由于传感器节点的能量主要消耗在传输数据上，所以减少节点数据传输量可以有效延长网络生命期。
Wireless sensor network is a multihop and self-organized network formed from a large amount of wireless sensor nodes by wireless communication.
无线传感器网络是由监测区域内布置的大量无线传感器节点，通过无线通信方式形成的多跳的自组织网络。
Work of this paper is based on GAINS sensor nodes.
本文的工作就是在GAINS传感器节点平台上展开的。
Firstly, the general design of self healing sensor nodes is introduced.
首先介绍了仿生自修复节点的总体设计方案；
For example, sensor data can be collected from one or more sensor nodes in a network.
例如，可以从网络中的一个或多个传感器节点采集传感器数据。
Wireless sensor networks deployed a large number of sensor nodes within a specific region.
无线传感器网络部署了大量的传感器节点在特定区域内。
All these applications and most of the in-network studies require the locations of sensor nodes.
绝大多数的无线传感器网络应用及自身系统研究需要传感器节点的位置。
The most important part of network hardware system in wireless sensor networks is the sensor nodes.
传感器节点是无线传感器网络硬件系统的核心。
The RDA algorithm which is based on the CNS algorithm is proposed to detect redundancy of sensor nodes.
RDA算法是基于本论文前面的CNS算法而提出的一种判断冗余节点的算法。
A novel ranging method for wireless sensor nodes in complex indoor communication environment is proposed.
提出一种能够适用于复杂室内通信环境的无线传感器网络节点间的测距新方法。
The sensor nodes are set as particles with masses and are connected with neighbor nodes by virtual springs.
各传感器节点虚拟为具有质量的粒子，粒子间用弹簧相连。
The basic application of WSN is to gather and transfer the information of monitored region from sensor nodes.
无线传感器网络的基本功能是收集并传输大量传感器节点所在监测区域的各种信息。
Generally, sensor nodes are made of sensors units, processors units, data transmission units and power supply.
一般来说，传感器节点由感应单元、处理器单元、数据传输单元和电源四部分组成。
To adapt the actual sensor nodes with limited memory and computing capacity, a simplified model is also introduced.
为了适应实际的有限的内存和计算能力的传感器节点，还引入了一个简化模型。
Therefore, wireless sensor network must have the self-organizing ability to solve their routing between sensor nodes.
无线传感器网络需要能够自行解决传感器节点间的路由问题，具备自组织能力。
At last, the paper achieved the design of E-nose sensor nodes based on gas sensors, and the test results were analyzed.
论文最后完成了基于气敏传感器的无线电子鼻传感器节点实现，并对测试结果进行了分析。
The wireless sensor network is a multi-hop wireless network which is made up of a lot of distributed smart sensor nodes.
无线传感器网络是由许多分布的智能传感器节点组成的多跳无线网络。
In wireless sensor networks it is necessary to encrypt messages sent among sensor nodes to achieve communication security.
为了实现无线传感器网络中的安全通讯，需要对传感器结点间传递的信息进行加密。
A lot of traditional key management schemes are not suitable for sensor networks for the limited resource in sensor nodes.
由于传感器节点的资源限制，许多传统的密钥管理方案并不适合传感器网络。
The paper introduces the ultralow-power hardware design of wireless sensor nodes for online oscillation signal detection and analysis.
本文介绍了实现在线振动检测和分析的无线传感器节点的超低功耗硬件设计。
A collection of sensor nodes record temperature and battery level readings and send them to a collection node for off-line processing.
一些传感器节点记录温度和电量水平信息并发送给采集节点。
Considering the limited energy and transmission range of sensor nodes in sensor networks, an innovative routing algorithm was proposed.
针对传感器节点能量及传输范围有限等特点，提出了一种基于簇的自适应路由算法。
But because of resource constraints of sensor nodes, the now mature security technology is not well applied to wireless sensor networks.
然而，由于传感器节点的资源限制，使得现已成熟的安全技术不能很好的应用到无线传感器网络中。
Therefore, how to improve the energy efficiency of sensor nodes and prolong the network lifetime of sensor network is the key issues for its research.
因此，如何提高传感器节点能量效率，延长网络生存期是传感器网络研究的关键问题。
Therefore, how to improve the energy efficiency of sensor nodes and prolong the network lifetime of sensor network is the key issues for its research.
因此，如何提高传感器节点能量效率，延长网络生存期是传感器网络研究的关键问题。
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