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

机译:离散和数据包延迟为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:已经尝试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分组传输延迟的节能电子疫情模型。对所有平衡点进行线性稳定性分析,其特征方程涉及时间延迟。全局稳定性和HOPF分叉分析用于延迟系统的流动性均衡点。已经注意到了Hopf分叉的方向和所产生的周期解决方案的稳定性。数值研究表现出双跳率分叉动力学,导致稳定性切换,即稳定性,稳定性和返回到不稳定性或考虑系统溶液的反转过渡。最后,数值模拟为不同的延迟提供了有用的观察,并且他们表现出一个有趣的分叉情景。研究了对照参数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示网络的脆弱安全系统。考虑到仿真结果,指出了控制恶意信号传播的最有效的控制措施。 (c)2019 Elsevier Inc.保留所有权利。

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