• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>The 2nd joint FWOCNT international workshop 2009 : Forefront wireless amp; optical communication and network technology >A CLUSTERED SLEPIAN-WOLF CODING MECHANISM FOR DATA AGGREGATION IN WIRELESS SENSOR NETWORKS
【24h】

A CLUSTERED SLEPIAN-WOLF CODING MECHANISM FOR DATA AGGREGATION IN WIRELESS SENSOR NETWORKS

机译：无线传感器网络中数据聚集的簇Slepian-Wolf编码机制

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, much correlated data has been collected and transmitted to the sink. However, since too much redundancy exists in the correlated data, it will cost more and unnecessary energy consumption. Slepian-Wolf coding is a source coding technique that can completely remove the data redundancy, however, a perfect complete knowledge of the correlation between the sources should be as a prior of it which is very difficult to implement. In this paper, a clustered Slepian-Wolf coding mechanisM is proposed. Firstly, a grid based data correlation clustering mechanism(GDC2) is proposed, by sending the cluster head's reading, the member node select the node as its head which has the minimum difference with its own reading and relative short distance. Secondly, the intra-cluster rate allocation of Slepian-Wolf coding is discussed analogized with the whole network rate allocation. Finally, through Theoretical analysis it can be proved that the proposed mechanism can achieve a good energy saving.
机译：在无线传感器网络中，已经收集了许多相关数据并将其传输到接收器。但是，由于相关数据中存在过多的冗余，因此将花费更多且不必要的能量消耗。 Slepian-Wolf编码是一种可以完全消除数据冗余的源编码技术，但是，对于源之间的相关性有一个完整的完整知识是应优先考虑的，这是很难实现的。本文提出了一种聚类的Slepian-Wolf编码机制。首先，提出了一种基于网格的数据相关性聚类机制（GDC2），通过发送簇头的读数，成员节点选择与自己的读数相差最小，距离相对较短的节点作为簇头。其次，讨论了Slepian-Wolf编码的集群内速率分配与整个网络速率分配的相似性。最后，通过理论分析可以证明所提出的机制可以实现良好的节能效果。

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