Based on the study of LEACH, a clustering hierarchy algorithm named cluster heads optimized algorithm was proposed.
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。
However, the cluster heads close to the sink node lead to energy failure for transmit large amount of data, resulting in "energy hole" phenomenon.
但是，由于靠近汇聚节点的簇头需要转发大量数据，容易导致能量快速衰竭而失效，造成“能量空洞”现象。
The two layer cluster heads were selected by base station in terms of residual energy of node and distance between cluster heads and base station.
由基站依据节点剩余能量和簇头与基站的距离分别选出二层簇头，簇内节点利用单跳和多跳模式与簇头进行通信。
The novel algorithm makes it more uniform in distribution of cluster heads, an improved multi-hop routing algorithm is proposed in data transmission.
该算法使得簇头分布更加均匀，同时在数据传输中，提出了改进后多跳路由算法。
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.
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。
Simulation results show LBC can effectively balance the load and energy consumption of cluster heads, decrease the delay of packets, and obviously prolong the lifetime of networks.
仿真实验结果表明，该路由协议能有效地均衡网络负载和簇头节点能量消耗，减少数据传输延迟，延长网络生存时间。
Through analyzing communication energy dissipation of wireless sensor nodes quantitatively, the relational model of cluster heads' residual energy and communication traffic was established.
通过定量分析传感器节点的通信能量消耗，建立了聚类首领剩余能量与通信流量的关系模型。
The proposed localization algorithm first generates clusters and a spanning tree consisting of cluster heads, and then the cluster head computes local coordinates of all member nodes in the cluster.
着重设计了一种基于二跳生成树的可扩展分簇定位算法。首先对传感器网络进行分簇、并利用簇头节点构造一个二跳生成树；
The cluster-based distributed MANET consists of several clusters, in which three kinds of nodes are included: cluster heads, ordinary nodes and gateway nodes, and the nodes in it are self-organized.
分群的分布式MANET是由具有移动性的节点组成的自组织的网络，这种网络中有若干群，群内有群首节点、普通节点和网关节点三种类型的节点。
In the new clustering scheme, cluster-heads are elected by a probability based on the ratio between residual energy of node and the average energy of network.
此方案基于节点剩余能量与网络节点的平均能量的比例来选举簇头节点。
In the new clustering scheme, cluster-heads are elected by a probability based on the ratio between residual energy of node and the average energy of network.
此方案基于节点剩余能量与网络节点的平均能量的比例来选举簇头节点。
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