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    路智静, 黄如, 孙俊峰, 张磊. 基于BA无标度网络的WSNs拓扑优化模型[J]. 华东理工大学学报(自然科学版), 2017, (2): 234-240,291. DOI: 10.14135/j.cnki.1006-3080.2017.02.013
    引用本文: 路智静, 黄如, 孙俊峰, 张磊. 基于BA无标度网络的WSNs拓扑优化模型[J]. 华东理工大学学报(自然科学版), 2017, (2): 234-240,291. DOI: 10.14135/j.cnki.1006-3080.2017.02.013
    LU Zhi-jing, HUANG Ru, SUN Jun-feng, ZHANG Lei. WSNs Topology Optimization Model Based on BA Scale-Free Network[J]. Journal of East China University of Science and Technology, 2017, (2): 234-240,291. DOI: 10.14135/j.cnki.1006-3080.2017.02.013
    Citation: LU Zhi-jing, HUANG Ru, SUN Jun-feng, ZHANG Lei. WSNs Topology Optimization Model Based on BA Scale-Free Network[J]. Journal of East China University of Science and Technology, 2017, (2): 234-240,291. DOI: 10.14135/j.cnki.1006-3080.2017.02.013

    基于BA无标度网络的WSNs拓扑优化模型

    WSNs Topology Optimization Model Based on BA Scale-Free Network

    • 摘要: 由于无线传感器能量受限,最大化网络生命周期成为优化网络拓扑首要考虑的问题。基于BA无标度理论,提出了一种WSNs拓扑优化模型(WTOM)。在网络中引入超级节点,结合粒子群算法合理地划分整个网络;在节点间建立多因素为导向的虚拟力场,利用虚拟力调整超级节点的部署位置,实现网络能量的均衡消耗,通过对关键节点的保护,提高网络的抗毁鲁棒性。经理论分析和实验证明,该网络不仅继承了BA无标度网络的特征还具有小世界特性;同时该动态拓扑延长了网络的生命周期,提高了网络面向数据收集的节能性。

       

      Abstract: Due to the limited energy of wireless sensor nodes, the maximization of the network lifetime has become one of the most important problemsin the optimization of the network topology.This paper presents a wireless sensor networks topology optimization model (WTOM) based on BA scale free network. Some super nodes are introduced into the network that is divided reasonably by using particle swarm algorithm. The virtual force field driven by multiple factors is established between nodes and the deployment position of super nodes is adjusted by the virtual force. Thus, the nodes' energy consumption is balanced and the robustness of invulnerability is improved by protecting key nodes. Both the theoretical analysis and experimental results demonstrate that the obtained network model not only keep the characteristics of BA scale free network, but also has the characteristics of small world. Moreover, the proposed model can extend the network life cycle and raise the network energy saving in data collection.

       

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