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Discrete and data packet delays as determinants of switching stability in wireless sensor networks

机译:离散和数据包延迟是无线传感器网络中切换稳定性的决定因素

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An attempt has been made to understand the transmission dynamics of malicious signals in wireless sensor networks. An energy efficient e-epidemic model with data packet transmission delay has been considered. Linear stability analysis is performed for all the equilibrium points, whose characteristic equations involve the time delay. Global stability and Hopf bifurcation analyses are carried out for the endemic equilibrium point of the delay system. Attention has been paid to the direction of Hopf bifurcation and the stability of the resulting periodic solutions. Numerical study exhibits double Hopf bifurcation dynamics and it causes stability switching i.e., instability to stability and back to instability or the reverse transition of the solution of the considered system. Finally, numerical simulations provide useful observations for different delays and they show an interesting bifurcation scenario. The impact of the control parameters beta and tau on the system dynamics have been investigated. Our results suggest that the data packet delay and discrete delay are responsible for the stability switching and the occurrence of chaotic dynamics respectively. The presence of chaotic dynamics indicates fragile security system of the network. Looking into the simulation results, we have indicated the most effective control measures to control the propagation of malicious signals. (C) 2019 Elsevier Inc. All rights reserved.
机译:试图了解无线传感器网络中恶意信号的传输动态。已经考虑了具有数据包传输延迟的节能电子流行病模型。对所有平衡点进行线性稳定性分析,其特征方程式包含时间延迟。针对时滞系统的地方平衡点进行了全局稳定性和Hopf分叉分析。注意了Hopf分叉的方向以及所产生的周期解的稳定性。数值研究显示出双重Hopf分叉动力学,并且引起稳定性切换,即所考虑系统的解从不稳定到稳定再回到不稳定或反向转换。最后,数值模拟为不同的延迟提供了有用的观察结果,并且它们显示了有趣的分叉场景。已经研究了控制参数beta和tau对系统动力学的影响。我们的结果表明,数据包延迟和离散延迟分别负责稳定性切换和混沌动力学的发生。混沌动力学的存在表明网络的安全系统脆弱。通过仿真结果,我们已经指出了控制恶意信号传播的最有效控制措施。 (C)2019 Elsevier Inc.保留所有权利。

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