提出了查询登记机制，以提高簇头节点资源发现能力。
A query register mechanism is proposed to enhance the cluster head nodes ability of resource discovery.
首先，我们将认知用户分为若干个簇，并选出簇头节点。
Firstly, we've divided the CR users into some clusters and chosen the cluster-head nodes.
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.
通过簇间多跳将距离网关较远节点的能耗分散到了网络中的其它簇头节点。
It makes energy consumption of nodes which are far from gateway spread to the other cluster head nodes in network through method of inter-cluster multi-hop.
该算法使得簇头节点间通信代价耗费降低，仿真结果说明了该算法的可行性和有效性。
This algorithm makes the communications consumed lower between the cluster head nodes, the simulation results show the feasibility and effectiveness of this algorithm.
在能量阈值算法中，网络的分簇轮换在簇头节点能量消耗到达一个确定的阈值时触发。
To solve the problem of uncertainty of clustering rotation time of in cluster-based routing protocol in WSN, energy threshold algorithm is proposed in this paper.
在同一个簇中的认知用户，共同做出一个簇判决，之后，各个簇头节点进行通信做出全局判决。
The CR users in the same cluster make a cluster decision together, and then the cluster-head nodes conduct a communication to make the global sensing decision.
为了减小误检率，巡查节点检测出信誉度为零的恶意节点后，需要簇头节点对其进行二次诊断。
To reduce false alarm rate, the cluster head carries out second diagnosis mechanisms for malicious after the monitor node found out it.
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.
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。
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.
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 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.
时间率先衰减到0的节点则主动成为簇头。
While the timer reaches 0, the node becomes Cluster Head spontaneously.
它将网络划分成若干个单元格，同一单元格内推举一个节点作为簇头，代替整个单元格实现通信功能。
In GAF, the network is divided into several grids, in which one node is chosen as the cluster head to represent the whole grid to communicate with other grids.
结果虽然均衡了成员节点之间的能量消耗，但是没有考虑到簇头间的能量消耗均衡问题。
Results Although the balance of the members of the energy consumption between nodes, but did not take into account the energy consumption among cluster head balance.
簇头选择时，遵循保护最低能量节点的原则，即要求所选簇头尽量靠近剩余能量最低的节点。
While selecting the cluster head, the principle of protecting the lowest energy node should be followed, the selected cluster head should be as close as the lowest energy node.
为了解决这个问题，将认知无线电网络分成单跳有簇头结构，通过簇头检测恶意节点。
In order to solve this security problem, cognitive radio networks are divided into single-hop clustering structure, and cluster-head is designed to detect malicious nodes.
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。
However, the cluster heads close to the sink node lead to energy failure for transmit large amount of data, resulting in "energy hole" phenomenon.
簇群成员节点和簇头的通信方式与簇群的拓扑结构决定整个簇群的能量消耗速度。
The whole cluster energy consumption was decided by the communication pattern and topology of cluster.
引入新机制后，网络的稳定性比原算法有很大提高，节点充当簇头的公平性也有一定提高。
Compared with old algorithms, both stability and Head Fairness of wireless sensor network have been greatly improved after the new mechanism is introduced into existing clustering algorithms.
每个簇内选举一个簇头，其他簇内代表节点以时分复用方式传送数据给簇头。
With a new clustering protocol, all representative nodes are divided into several clusters which uniformly distributed.
节点根据能量消耗的代价来选择至簇头的路由，通过扩散算法来广播代价消息，采用贪婪算法来选择能量消耗最小的路径；
The new protocol finds the path to the cluster head with the minimum cost, using an algorithm similar to flooding to propagate the cost information and greedy algorithm to find the lowest cost link;
通过降低系统内簇头与簇内节点之间通信的总能量和平均传输时延来提高网络的生命周期。
And the performance of the system would be improved by decreasing the whole communicate energy between the cluster-head and the cluster member and decreasing the average time-delay.
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 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 two layer cluster heads were selected by base station in terms of residual energy of node and distance between cluster heads and base station.
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