一个良好的分簇算法是进行分层路由协议研究的关键和前提。
The premise and key of the research of layered routing protocol is an excellent clustering algorithm.
分簇算法是目前无线传感器网络(wsn)研究的重点之一。
At present, Clustering algorithm is one of the focus of the study in wireless sensor networks (WSN).
该文针对节点非均匀分布的大规模WSN，提出了一种分簇算法。
In this paper, a novel clustering algorithm is proposed, which is suitable for the non-uniformly distributed LS-WSNs.
最后，通过模拟对该分簇算法与最小ID算法进行了性能比较和评价。
Finally, simulations perform performance comparisons and evaluations between GPBCA and LOWID algorithm.
分析了几种常见分簇算法，在此基础上提出了一种新的基于移动代理的分簇策略。
The common clustering algorithms in mobile Ad Hoc network (MANET) are firstly analyzed in this paper.
现有分簇算法一般只选取一个簇头，有簇头消亡便要重建网络，导致网络稳定性不好。
When the cluster head dies out, the network will be reestablished, and stability of the network will be reduced.
提出了一种基于虚拟区域划分的适用于异构无线传感器网络的能量和距离有效分簇算法。
So an energy and distance efficient clustering algorithm based on virtual area partition was proposed in this paper for heterogeneous wireless sensor networks.
基于对LEACH等算法的研究，提出一种传感器网络分簇算法———簇头优化分簇算法。
Based on the study of LEACH, a clustering hierarchy algorithm named cluster heads optimized algorithm was proposed.
研究LEACH和PEGASIS协议，提出一种无线传感器网络中的助理簇头分簇算法。
Based on LEACH and PEGASIS algorithm, this paper proposes an assistant cluster head algorithm in Wireless Sensor Networks (WSN).
为了解决分簇算法中网络节点能量负载不平衡的问题，提出了一种能量均衡的分布式成簇算法。
An energy balancing distributed clustering algorithm for wireless sensor networks is proposed to solve the problem of imbalance in energy load for clustering algorithms.
本文从不同的角度研究移动自组网中基于权值的分簇算法，并对这些算法进行归类和优缺点分析。
This paper studies the clustering algorithms on different perspectives, and analyzes the merits and weaknesses of different types of weighted clustering algorithms.
针对最大连通度算法簇头节点负载过重，各簇头间负载极不均衡的问题，提出一种双簇头分簇算法。
To the load of cluster heads is always high and terribly unbalanced in maximum link degree clustering algorithm, a two cluster-heads clustering algorithm is proposed.
该模式充分利用了目前无线传感器网络部署中提出的分簇算法，并结合随机密钥预分布模型的优点。
The new scheme exploits the clustering algorithm of WSN deployment and the merit of random key pre-distribution.
在此基础上，本文简要分析了移动自组网分簇结构及其优势，并同时说明了分簇算法的概念和目标。
On this basis, the paper mainly analyzes cluster-structure of the AD hoc networks and its advantages, and illustrates the concept and objectives of the clustering algorithms.
其次，详细阐述了分簇算法的原理以及改进后的交叠分簇算法的原理，并对两种算法进行了仿真实验。
Secondly, elaborates on the principle of clustering algorithms, as well as the principle and simulation of overlapping clustering algorithm which is improved.
作为网络拓扑控制的有效方式之一，分簇算法可显著降低无线传感器网络的能量消耗，提高网络吞吐率。
As one of the efficient ways of network topology control, clustering algorithms can reduce the energy consumption of the network and obviously improve the throughput ratio.
在研究了一些分簇算法和多路径路由算法基础上，提出基于簇指挥路径的多路径路由算法（CDPMR）。
This paper proposes a cluster director path multipath routing algorithm on the research of other multipath routing algorithm(CDPMR).
本文主要研究无线传感器网络中的分簇机制，在分析了典型分簇算法的基础上，对传统分簇算法进行了改进。
This paper studies the wireless sensor network clustering system, analysis of several typical clustering algorithm based on the traditional clustering algorithm was improved.
在分析了LEACH,FSR算法的基础上，提出了一种基于二跳信息的分簇算法，以有效提高网络生命期。
Based on the analysis of LEACH algorithm and FSR algorithm, we propose a clustering algorithm based on binary-hop information.
分簇算法是无线传感器网络中实施分层路由所采用的重要方法，尤其是传感器节点受到能量和带宽的严重制约。
Clustering algorithms are the most important method for hierarchy routing in wireless sensor network; especially the sensor nodes are limited by poor energy and bandwidth.
目前，寻求合理的分簇算法来减少维护簇结构所需的开销，保持簇结构的稳定性，已经成为分簇算法研究的热点。
Now a suitable cluster algorithm with less cluster maintaining cost and stable structure is an important research subject in Ad hoc network.
通过研究信息集分簇算法的步骤和特性，设计一种能耗和定位精度达到平衡的分簇算法，以降低算法整体的复杂度。
Designing a clustering algorithm which can balance energy consumption and localization accuracy so that algorithm complexity can be largely reduced.
分簇技术是提高无线自组网性能的关键技术之一，增强分簇算法的稳定性即减少簇结构的变化可以有效降低其维护开销。
Clustering is one of the key technologies in improving network performance in AD Hoc networks. Enhancing the stability of a clustering algorithm can reduce the maintenance overhead.
仿真结果表明：在能耗上，基于通信能耗和位置误差考虑的分簇算法比基于能耗考虑的分簇算法提高了2.22%，但位置误差却降低了8.11%。
Simulation results show that energy consumption of the clustering algorithm mentioned in this paper is increased by 2.22%, location error is reduced by 8.11% comparing with clustering algorithm.
其次，着重具体地分析了几种不同类型的路由协议，并在已提出的改进的基于最高节点度分簇算法的基础上，进一步提出了一种混合式分簇路由算法。
Secondly, the thesis focuses on the analysis of different kind of routing protocols, and presents a hybrid cluster routing algorithm based on the improved highest degree cluster algorithm.
基于此，本文提出了一种能量有效的多层动态分簇时间同步算法。
Then the time synchronization algorithm based on energy-efficient and hierarchical dynamic clustering is presented.
算法在实现分簇、增加系统可靠性的同时，最大限度地降低了对资源的使用，满足了定位精度的要求。
The algorithm achieves clustering, increases the system reliability and reduces the use of resources, meets the location accuracy requirement.
第三，为了延长网络生存周期，提高能量的使用效率，本文提出了一种新的分簇路由算法—能量高效的分簇路由算法。
Third, to prolong the lifetime of the network and enhance the efficiency of energy utilization, we propose a new clustering algorithm-energy efficient clustering algorithm.
提出了一种改进的路由更新算法—基于分簇机制的动态自适应路由更新算法。
This paper proposed an improved routing update algorithm - a dynamically self-adaptive routing update algorithm based on clustering mechanism.
实验结果表明，该算法能够满足事件驱动分簇的要求，能量消耗比经典算法更均衡。
Experimental results show that the algorithm can require the demands of the event driven clustering, it consumes balanced energy compared with traditional algorithms.
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