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Distributed cooperative communication nodes control and optimization reliability for resource-constrained WSNs

机译:资源受限的无线传感器网络的分布式协作通信节点控制和优化可靠性

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摘要

The utilization of distributed control and optimization is still a challenge issue to achieve reliable communication for resource-constrained networked systems. In this paper, a distributed cooperative communication nodes control (DCCNC) approach is proposed to achieve higher reliability communication and longer network lifetime for resource-constrained wireless sensor network (WSNs). A DCCNC scheme adopts feedback control approach to determine the appropriate number of node which participates in cooperative communication according to the application reliability requirements. A residue energy notification mechanism is used to notice the minimum residual energy of nodes in a network, then the number of cooperative communication nodes is adjusted according to the difference between the residual energy of nodes and the minimum residual energy of network. In a DCCNC scheme, larger number of participate cooperative communication nodes are adopted in non-hotspots area to achieve high reliability, while less number of participate cooperative communication nodes are adopted in hotspots area to achieve high network lifetime. The theoretical analysis and experimental results show that comparing with previous communications schemes, DCCNC scheme can reduce end to end Data Fail delivering Ratio (DFR) by 57.16-93.29% while retaining network lifetime, and DCCNC approach can also improves lifetime by 3.89-18.75% while retaining weighted end to end (DFR). (C) 2017 Elsevier B.V. All rights reserved.
机译:分布式控制和优化的利用仍然是为资源受限的联网系统实现可靠通信的挑战。本文提出了一种分布式协作通信节点控制(DCCNC)方法,以实现资源受限的无线传感器网络(WSN)的更高可靠性通信和更长网络寿命。 DCCNC方案采用反馈控制的方法,根据应用的可靠性要求,确定参与协作通信的节点数量。使用残差能量通知机制来通告网络中节点的最小残差能量,然后根据节点的残差能量与网络的最小残差能量之差来调整协作通信节点的数量。在DCCNC方案中,在非热点区域采用较多的参与协作通信节点以达到较高的可靠性,而在热点区域采用较少的参与协作通信节点以实现较高的网络寿命。理论分析和实验结果表明,与以往的通信方案相比,DCCNC方案在保持网络寿命的同时,可以将端到端的数据失败率(DFR)降低57.16-93.29%,DCCNC方案也可以使寿命提高3.89-18.75%。同时保持加权的首尾相接(DFR)。 (C)2017 Elsevier B.V.保留所有权利。

著录项

  • 来源
    《Neurocomputing》 |2017年第27期|122-136|共15页
  • 作者单位

    Cent S Univ, Sch Informat Sci & Engn, Changsha 410083, Hunan, Peoples R China;

    Cent S Univ, Sch Informat Sci & Engn, Changsha 410083, Hunan, Peoples R China;

    Xiangtan Univ, Coll Informat Engn, Xiangtan 411105, Peoples R China;

    Xiangtan Univ, Coll Informat Engn, Xiangtan 411105, Peoples R China;

    Ajou Univ, Dept Software, Suwon 443749, South Korea;

    Chiba Univ, Grad Sch Adv Integrat Sci, Chiba 2638522, Japan;

    Univ Tsukuba, Fac Engn Informat & Syst, Tsukuba, Ibaraki 3058573, Japan;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Distributed control and optimization; Resource-constrained network; Reliability; Network lifetime;

    机译:分布式控制与优化;资源受限的网络;可靠性;网络寿命;

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