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An Improved Distributed Cluster Organization Algorithm of Wireless Sensor Networks

机译:无线传感器网络的一种改进的分布式集群组织算法

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Dynamic cluster organization is a hotspot research field for wireless sensor networks. A new algorithm of building and regroup clusters -Improved Distributed Cluster Organization Algorithm (IDCOA) is proposed in this paper. By IDCOA, nodes are clustered via the way that some nodes propose invitations, and the other sensors respond. Member nodes in the networks save the cluster's id, but header nodes do not have to save its member's id. The regroup of clusters is considered also. On one hand, the exiting nodes don't affect on the other nodes; on the other hand, the new nodes can join in the network effectively. To describe the IDCOA algorithm, six time-related parameters are defined to be used for timer control; seven message types are defined to be used for nodes communication; and ten steps are defined as the implement of the IDCOA process. The simulate result indicates that IDCOA algorithm has well performance on the clustered rate and the number of cluster headers for wireless sensor networks.
机译:动态集群组织是无线传感器网络的一个热点研究领域。提出了一种新的聚类和聚类算法-改进的分布式聚类组织算法(IDCOA)。通过IDCOA,节点通过一些节点提出邀请而其他传感器做出响应的方式进行聚类。网络中的成员节点保存集群的ID,但标头节点不必保存其成员的ID。还考虑了群集的重组。一方面,现有节点不会影响其他节点;相反,现有节点不会影响其他节点。另一方面,新节点可以有效地加入网络。为了描述IDCOA算法,定义了六个与时间相关的参数以用于计时器控制。定义了七种消息类型用于节点通信;定义IDCOA流程的十个步骤。仿真结果表明,IDCOA算法在无线传感器网络的簇率和簇头数量上具有良好的性能。

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