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Improving the Performance Metric of Wireless Sensor Networks with Clustering Markov Chain Model and Multilevel Fusion

机译：利用聚类马尔可夫链模型和多级融合提高无线传感器网络的性能指标

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摘要

The paper proposes a performance metric evaluation for a distributed detection wireless sensor network with respect to IEEE 802.15.4 standard. A distributed detection scheme is considered with presence of the fusion node and organized sensors into the clustering and non-clustering networks. Sensors are distributed in dusters uniformly and nonuniformly and network has multilevel fusion centers. Fusion centers act as heads of clusters for decision making based on majority-like received signal strength (RSS) with comparison the optimized value of the common threshold. IEEE 802.15.4 Markov chain model derived the performance metric of proposed network architecture with MAC, PHY cross-layer parameters, and Channel State Information (CSI) specifications while it is including Path-loss, Modulation, Channel coding and Rayleigh fading. Simulation results represent significant enhancement on performance of network in terms of reliability, packet failure, average delay, power consumption, and throughput.
机译：本文针对IEEE 802.15.4标准提出了针对分布式检测无线传感器网络的性能指标评估。考虑到存在融合节点和将传感器组织到群集和非群集网络中的分布式检测方案。传感器均匀，不均匀地分布在除尘器中，网络具有多层融合中心。融合中心充当基于类多数接收信号强度（RSS）的决策制定集群的负责人，并比较公共阈值的优化值。 IEEE 802.15.4马尔可夫链模型使用MAC，PHY跨层参数和信道状态信息（CSI）规范导出了所提出的网络体系结构的性能指标，同时还包括路径损耗，调制，信道编码和瑞利衰落。仿真结果表明，在可靠性，数据包故障，平均延迟，功耗和吞吐量方面，网络性能得到了显着提高。

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  • 来源
    《Mathematical Problems in Engineering》 |2013年第1期|783543.1-783543.11|共11页
  • 作者

    Saeed Havedanloo; Hamid Reza Karimi;

  • 作者单位

    Departmant of ICT, Faculty of Engineering and Science, University of Agder, 4898 Grimstad, Norway;

    Department of Engineering, Faculty of Engineering and Science, University of Agder, 4898 Grimstad, Norway;

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