蚁群优化方法的自组织、动态和多路径的特性使其特别适合应用于无线传感器网络的路由。
Ant Colony Optimization methods of self-organization, dynamic and multi-path make it particularly suited to the characteristics of wireless sensor networks for routing.
为解决当前无线传感器网络在目标定位与跟踪等领域的安全问题，提出了一种建立在自动跟踪簇基础上的动态簇密钥更新算法MCDGR。
To enhancing the wireless sensor network's security in target tracking and locating application, a tracking cluster based mobile cluster distributed group rekeying protocol (MCDGR) was proposed.
无线传感器网络通信的动态、易损耗特性为可靠自组多跳的网络设计带来了很大的挑战。
The dynamic and lossy nature of wireless sensor networks communication poses major challenges to reliable, self-organizing multi-hop networks designs.
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。
A key challenge in wireless sensor networks is to achieve maximal network lifetime with dynamic power management on sensor nodes.
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.
针对多数无线传感器网络路由协议不能高效应对网络拓扑结构动态变化的问题，本文提出了一种基于最短路径的层次路由协议TVHRP。
As many routing protocols for wireless sensor network can't handle dynamic topological variation efficiently, a new hierarchical routing protocol (TVHRP) based on the shortest path is proposed.
提出了一种自适应负载动态变化的无线传感器网络MAC协议。
This paper proposes an adaptive dynamic load MAC protocol for wireless sensor network.
对于资源受限且拓扑动态变化的无线传感器网络，宜采用分布式和局部化的覆盖控制协议和算法。
The WSN with limited resources and dynamic topology had better adopt distributed and localized coverage control protocols and algorithms.
由于人体的运动有着不同于其他事物运动的规律，无线体域网的动态拓扑变化必然与其他无线传感器网络拓扑变化有很大不同。
Since the body movement is quite different from other kinds of motion, dynamic topology changes of WBAN are also very different from other WSNs.
然而，无线传感器网络在为人类社会带来不可估量好处的同时，也提出了资源的严格受限、超大规模、高度动态性等新的挑战。
However, WSN bring immeasurable benefits for human society, while bring up some new challenges, such as resources restriction, super-scale, and highly dynamic.
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.
本论文给出了无线传感器网络动态划分簇的目标跟踪协议。
In this thesis, we propose a dynamic clustering for target tracking in WSN.
本论文给出了无线传感器网络动态划分簇的目标跟踪协议。
In this thesis, we propose a dynamic clustering for target tracking in WSN.
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