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Scale-free topology evolution for wireless sensor networks with reconstruction mechanism

机译:具有重构机制的无线传感器网络的无标度拓扑演化

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摘要

How to improve survivability of wireless sensor networks (WSNs) is an important issue which has attracted much attention over recent years. In this paper, by resorting to complex network theories, we propose two models, namely, a linear growth evolution model (LGEM) and an accelerated growth evolution model (AGEM). In the model evolution processes, the following factors: node addition, node deletion, and link reconstruction that naturally arise from practical WSNs applications are considered. In addition, accelerated growth is introduced into the evolving processes of AGEM. Theoretical analysis shows that AGEM is an extension of the LGEM model, and AGEM is generally more flexible and accommodating in practice. Simulation results show that the degree distributions of two models have scale-free characteristics and the topologies generated by the two models show a good survivability under random and deliberate attacks.
机译:如何提高无线传感器网络(WSN)的生存能力是一个重要的问题,近年来引起了很多关注。在本文中,通过运用复杂的网络理论,我们提出了两种模型,即线性增长演化模型(LGEM)和加速增长演化模型(AGEM)。在模型演化过程中,考虑了以下因素:节点的增加,节点的删除以及实际WSN应用中自然产生的链路重构。此外,加速增长被引入到AGEM的发展过程中。理论分析表明,AGEM是LGEM模型的扩展,并且AGEM在实践中通常更为灵活和适应。仿真结果表明,两个模型的度分布具有无尺度特性,并且两个模型生成的拓扑在随机和故意攻击下都具有良好的生存能力。

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