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Topology management protocols in ad hoc wireless sensor networks .

机译:ad hoc无线传感器网络中的拓扑管理协议。

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摘要

A wireless sensor network (WSN) is comprised of a few hundred or thousand autonomous sensor nodes spatially distributed over a particular region. Each sensor node is equipped with a wireless communication device, a small microprocessor, and a battery-powered energy source. Typically, the applications of WSNs such as habitat monitoring, fire detection, and military surveillance, require data collection, processing, and transmission among the sensor nodes. Due to their energy constraints and hostile environments, the main challenge in the research of WSN lies in prolonging the lifetime of WSNs.;In this dissertation, we present four different topology management protocols for K-coverage and load balancing to prolong the lifetime of WSNs.;First, we present a Randomly Ordered Activation and Layering (ROAL) protocol for K-coverage in a stationary WSN. The ROAL suggests a new model of layer coverage that can construct a K-covered WSN using the layer information received from its previously activated nodes in the sensing distance. Second, we enhance the fault tolerance of layer coverage through a Circulation-ROAL (C-ROAL) protocol. Using the layer number, the C-ROAL can activate each node in a round-robin fashion during a predefined period while conserving reconfiguration energy. Next, Mobility Resilient Coverage Control (MRCC) is presented to assure K-coverage in the presence of mobility, in which a more practical and reliable model for K-coverage with nodal mobility is introduced. Finally, we present a Multiple-Connected Dominating Set (MCDS) protocol that can balance the network traffic using an on-demand routing protocol. The MCDS protocol constructs and manages multiple backbone networks, each of which is constructed with a connected dominating set (CDS) to ensure a connected backbone network. We describe each protocol, and compare the performance of our protocols with Dynamic Source Routing (DSR) and/or existing K-coverage algorithms through extensive simulations.;The simulation results obtained by the ROAL protocol show that K-coverage can be guaranteed with more than 95% coverage ratio, and significantly extend network lifetime against a given WSN. We also observe that the C-ROAL protocol provides a better reconfiguration method, which consumes only less than 1% of the reconfiguration energy in the ROAL protocol, with a greatly reduced packet latency. The MRCC protocol, considering the mobility, achieves better coverage by 1.4% with 22% fewer active sensors than that of an existing coverage protocol for the mobility. The results on the MCDS protocol show that the energy depletion ratio of nodes is decreased consequently, while the network throughput is improved by 35%.
机译:无线传感器网络(WSN)由空间分布在特定区域上的数百或数千个自主传感器节点组成。每个传感器节点都配备有无线通信设备,小型微处理器和电池供电的能源。通常,WSN的应用(例如栖息地监视,火灾检测和军事监视)需要在传感器节点之间进行数据收集,处理和传输。由于它们的能量限制和恶劣的环境,WSN的研究面临的主要挑战在于延长WSN的寿命。本文针对K-coverage和负载均衡提出了四种不同的拓扑管理协议,以延长WSN的寿命。首先,我们提出用于固定WSN中K覆盖的随机有序激活和分层(ROAL)协议。 ROAL建议了一种新的层覆盖模型,该模型可以使用从其感应距离中先前激活的节点接收到的层信息来构建K覆盖的WSN。其次,我们通过Circulation-ROAL(C-ROAL)协议增强了层覆盖的容错能力。使用层号,C-ROAL可以在预定期间内以循环方式激活每个节点,同时节省重新配置的能量。接下来,提出了移动弹性覆盖控制(MRCC)以确保存在移动性时的K覆盖率,其中引入了一种更加实用和可靠的具有节点移动性的K覆盖率模型。最后,我们提出了一种多连接控制集(MCDS)协议,该协议可以使用按需路由协议来平衡网络流量。 MCDS协议可构建和管理多个骨干网,每个骨干网均使用连接的控制集(CDS)构建以确保连接的骨干网。我们描述了每种协议,并通过广泛的仿真将我们的协议的性能与动态源路由(DSR)和/或现有的K覆盖算法进行了比较;; ROAL协议获得的仿真结果表明,可以用更多的方法来保证K覆盖覆盖率超过95%,并在给定WSN的情况下大大延长了网络寿命。我们还观察到C-ROAL协议提供了一种更好的重新配置方法,该方法仅消耗ROAL协议中不到1%的重新配置能量,并大大减少了数据包延迟。考虑到移动性,与现有的移动性覆盖协议相比,MRCC协议实现了1.4%的更好覆盖,而有源传感器却减少了22%。 MCDS协议的结果表明,节点的能量消耗率因此降低,而网络吞吐量提高了35%。

著录项

  • 作者

    Kim, Ho Gil.;

  • 作者单位

    Texas A&M University.;

  • 授予单位 Texas A&M University.;
  • 学科 Computer Science.
  • 学位 Ph.D.
  • 年度 2007
  • 页码 115 p.
  • 总页数 115
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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