无线传感器网络以其低功耗、低成本、分布式和自组织的特点带来了信息感知的一场变革。
Wireless Sensor Networks has brought a revolution in information perception for its characteristics of low-power, low cost, distributed and self-organization.
针对防空态势感知信息网络的传感器管理问题，提出了基于多智能体系统(MAS)的多传感器管理体系结构。
The MAS multi-sensor management system structure is proposed based on the air defense of situation awareness in view of sensor management question.
传感器网络以数据为中心的特点，使得感知数据管理成为网络应用的核心技术。
In a data - centric sensor networks, data management is the critical technique to the network application.
利用无线传感器网络中节点感知数据的相关性，提出了一种基于预测修正的动态数据传送机制。
A dynamic data transmission mechanism based on prediction revision is presented according to the inherent correlation of sampling data between nodes in WSNs.
本文以目标跟踪为应用背景，改进了已有传感器感知模型和虚拟力方法，提出了一种新的传感器网络布局优化策略。
Improving on the existing sensor detection model and virtual force method, we present a novel sensor deployment optimization strategy based on target involved virtual force.
无线传感器网络中，感知节点的合理分布对于提高网络的感知能力和信息收集能力以及提高网络的生存期限都具有重要的作用。
In sensor networks, a reasonable distribution of sensor nodes will do much good to the improvement of sensor ability, information aggregation ability and network survival.
如果布置一个无线感知网络去担任监测任务，其节点需要配置多种不同类型的传感器单元。
To monitor the objects, the sensor node has to set up different types of sensor units.
无线传感器网络的这种特点使其在实时数据感知、目标跟踪以及环境数据采集等领域有着广泛的应用。
This feature of wireless sensor networks make it in real-time data-aware, target tracking, and environmental areas such as data collection has a wide range of applications.
无线传感器网络集感知、通信、计算功能于一体，在诸多领域有重要应用，因而已经成为计算机领域研究的热点。
Wireless sensor networks, with their primary functions as sensing, communication and computing, are applied in many kinds of fields.
移动感知网是一个由许多带有传感器的自主移动机器人组成的分布式传感器网络。
Mobile sensor network is a distributed sensor networks which is composed of many autonomous mobile robots with sensors.
在这种网络中传感器主要用来感知物理世界中发生的事件，而执行器则基于所发生的事件做出决策，完成相应的任务。
In such a network, sensors gather information about the physical world, while actors make decisions and then perform appropriate actions upon the environment.
针对无线传感器网络中能源效率的问题，引入复杂网络理论的研究方法，提出基于能量感知无线传感器网络拓扑动态演化模型。
For energy efficiency in wireless sensor networks, complex networks theory is introduced in this paper. A dynamic topology evolving model based on energy-aware for WSNs is proposed.
无线传感器网络中的各个节点相互协作可以进行实时监测，感知和采集测试对象的各种信息，并把收集到的海量数据进行处理，然后通过无线网络及时发送给用户。
Wireless sensor network nodes can collaborate on real-time monitoring, such as tasks, and the collected mass data processing, and then sent through a wireless network in a timely manner to the user.
无线传感器网络中的各个节点相互协作可以进行实时监测，感知和采集测试对象的各种信息，并把收集到的海量数据进行处理，然后通过无线网络及时发送给用户。
Wireless sensor network nodes can collaborate on real-time monitoring, such as tasks, and the collected mass data processing, and then sent through a wireless network in a timely manner to the user.
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