• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Parallel and distributed computing and systems >AN ANALYSIS OF THRESHOLD-SENSITIVE ROUTING PROTOCOL IN WIRELESS SENSOR NETWORKS
【24h】

AN ANALYSIS OF THRESHOLD-SENSITIVE ROUTING PROTOCOL IN WIRELESS SENSOR NETWORKS

机译：无线传感器网络中阈值敏感路由协议的分析

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In wireless sensor networks, a clustering protocol is an efficient method to prolong network lifetime. But, in general, it results in more energy consumption at the cluster-head node. Hence, such a protocol must changes the cluster formation and cluster-head node in each round to prolong the network lifetime. But, this method also causes large amount of energy consumption during in setup process of cluster formation. In order to improve energy efficiency, in this paper, we propose a new clustering algorithm. Our scheme excludes duplicated data of adjacent nodes. We define a group as the sensor nodes within close proximity of each other. In a group, a node senses and transmits data at a time on the round-robin basis. In a view of whole network, group is treated as one node. During the setup phase of a round, clusters are formed first and then they are re-clustered (high level cluster) by choosing cluster-heads (group). In the group with a cluster-head, every member node plays the role of cluster-head on the round-robin basis. Hence, we can lengthen periodic round by a factor of group size. . As a result of analysis and comparison, our scheme reduces energy consumption of nodes. Also it can improve the efficiency of communications in sensor networks compared with current clustering methods.
机译：在无线传感器网络中，群集协议是延长网络寿命的有效方法。但是，通常，它会导致群集头节点的能耗更多。因此，这种协议必须在每一轮中更改群集的形成和群集头节点，以延长网络寿命。但是，这种方法在簇形成的建立过程中也会引起大量的能量消耗。为了提高能源效率，本文提出了一种新的聚类算法。我们的方案排除了相邻节点的重复数据。我们将一个组定义为彼此紧邻的传感器节点。在一个组中，节点以轮询为基础一次感知并传输数据。从整个网络的角度来看，组被视为一个节点。在回合的准备阶段，首先形成聚类，然后通过选择聚类头（组）将它们重新聚类（高级聚类）。在具有簇头的组中，每个成员节点都基于循环机制扮演簇头的角色。因此，我们可以将周期回合延长一个小组规模的因素。 。经过分析和比较，我们的方案减少了节点的能耗。与当前的聚类方法相比，它还可以提高传感器网络中的通信效率。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号