【24h】

Bio inspired optimal relocation of mobile sink nodes in wireless sensor networks

机译:BIO激发了无线传感器网络中移动宿节点的最佳重新定位

获取原文

摘要

In wireless sensor networks (WSNs), during data transmission, sensor nodes which are closer to the sink nodes use up their energy earlier than nodes which are away as they relay more data packets. This cause to the energy imbalance in between sensor nodes, and leads to the connectivity holes and coverage holes, and finally lead to network failure. In this paper, we introduce a new method to tackle with this problem by optimal relocation of the mobile sink nodes and hence to balance load between the sensors. The sink nodes relocation is performed by using the bio-inspired Digital Hormone Model. Through this method the sink nodes are being guided to move in an intelligent way towards the optimal location, which basically improves the network lifetime and reduces the energy imbalance. After simulations, has been observed that the proposed method greatly improves the network lifetime on comparing with other available methods. The simulations are performed in java using jdk 6 and jre 6 version software.
机译:在无线传感器网络(WSN)中,在数据传输期间,更靠近宿节点的传感器节点利用比它们中继更多数据分组的节点更早地使用它们的能量。这导致传感器节点之间的能量不平衡,并导致连接孔和覆盖孔,最后导致网络故障。在本文中,我们通过最佳重新定位移动宿节点来介绍一种解决这个问题的新方法,从而在传感器之间平衡负载。通过使用生物启发的数字激素模型来执行沉积节点重定位。通过这种方法,正在引导沉没节点以智能化方式向最佳位置移动,这基本上提高了网络寿命并降低了能量不平衡。已经观察到仿真之后,所提出的方法大大改善了与其他可用方法相比的网络生命周期。使用JDK 6和JRE 6版本软件在Java中执行模拟。

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