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Sink Mobility Schemes in Wireless Sensor Networks for Network Lifetime Extension.

机译:无线传感器网络中的接收器移动性方案,可延长网络寿命。

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摘要

Sensor nodes in Wireless Sensor Networks (WSNs) are normally battery-powered and remain stationary after deployment. When a sensor node runs out of energy it will no longer provide sensing and data processing. This can lead to a huge loss in the network due to the routing path re-allocation and failure of sensing and reporting events in the environment. Hence energy conservation has been receiving increased attention in WSN research works. The concept of mobile sink has been recently introduced for WSNs in order to improve the overall performance of WSNs as it shifts the burden of energy consumption from the sensor nodes to sink nodes, which are typically considered to have unconstrained energy supply and larger computational power.;In this thesis we present two sink mobility schemes: Load Base sink Movement (LBM) and Residual Energy Aware Routing (REAR) to prolong network lifetime in a random event-driven scenario. LBM computes the optimal tentative sink node position considering both the geographical distance from sensors to sink and transmission load of sensors as well. REAR is a routing strategy that considers the residual energy of sensors when establishing routing paths. Experimental results confirm that the proposed schemes can significantly extend the network lifetime, compared to existing techniques.
机译:无线传感器网络(WSN)中的传感器节点通常由电池供电,部署后保持静止。当传感器节点能量耗尽时,它将不再提供传感和数据处理。由于路由路径的重新分配以及环境中检测和报告事件的失败,这可能导致网络的巨大损失。因此,在WSN研究工作中,节能一直受到越来越多的关注。为了提高WSN的整体性能,近来已为WSN引入了移动接收器的概念,因为它将能量消耗的负担从传感器节点转移到接收器节点,接收器节点通常被认为具有不受约束的能量供应和更大的计算能力。 ;在本文中,我们提出了两种接收器移动性方案:负载基础接收器移动(LBM)和残余能量感知路由(REAR),以在随机事件驱动的情况下延长网络寿命。 LBM在考虑传感器到接收器之间的地理距离以及传感器的传输负载的情况下,计算出最佳的暂定接收器节点位置。 REAR是一种路由策略,在建立路由路径时会考虑传感器的剩余能量。实验结果证实,与现有技术相比,所提出的方案可以显着延长网络寿命。

著录项

  • 作者

    Guo, Jingxing.;

  • 作者单位

    University of Windsor (Canada).;

  • 授予单位 University of Windsor (Canada).;
  • 学科 Computer Science.
  • 学位 M.Sc.
  • 年度 2012
  • 页码 72 p.
  • 总页数 72
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:42:40

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