首页> 外文会议>Chinese Control Conference >Research on WSN Topology Algorithm Based on Greedy Shortest Paths
【24h】

Research on WSN Topology Algorithm Based on Greedy Shortest Paths

机译:基于贪婪最短路径的WSN拓扑算法研究

获取原文

摘要

It is a common design in most of the current topology schemes of wireless sensor network that the cluster head nodes can communicate with base station (BS) node directly, which causes that the cluster head nodes consume too much energy and become the bottleneck of network performance. Therefore, a WSN topology algorithm based on greedy shortest paths is proposed in this paper. Firstly, selecting the backbone nodes of the network and constructing the backbone network to transmit messages and allowing the backbone nodes and cluster heads to exist separately. Secondly, the backbone nodes build a single source shortest path routing table based on the greedy algorithm and select the most suitable shortest path to transmit data according to the consumption of the backbone nodes. Thirdly, selecting the cluster heads based on the LEACH protocol, in which the cluster heads is responsible for collecting and compressing the data, selecting the nearest backbone node to transmit the data. It is shown by data calculation and analysis that the proposed topology scheme in this paper has more stable transmission network structure, less burden and less reconstruction frequency, and the cluster heads are only responsible for transferring the processed data to the backbone network. In addition, the cluster head consumption and the overall network consumption are significantly improved compared with LEACH.
机译:在无线传感器网络的当前大多数拓扑方案中,群集头节点可以直接与基站(BS)直接通信是一种常见设计,这导致群集头节点消耗过多的能量并成为网络性能的瓶颈。 。因此,本文提出了一种基于贪婪最短路径的WSN拓扑算法。首先,选择网络的骨干节点并构建骨干网络以传输消息,并允许骨干节点和群集头分开存在。其次,骨干节点基于贪婪算法构建单个源最短路径路由表,并根据骨干节点的消耗量选择最合适的最短路径进行数据传输。第三,基于LEACH协议选择簇头,其中簇头负责收集和压缩数据,选择最近的骨干节点来传输数据。通过数据计算和分析表明,本文提出的拓扑方案具有更稳定的传输网络结构,更少的负担和更少的重构频率,并且簇头仅负责将处理后的数据传输到骨干网络。此外,与LEACH相比,群集头消耗和整体网络消耗得到了显着改善。

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