Propagation dynamics of the Pearcey Gaussian vortex beams in a harmonic potential

2021 ◽  
Vol 478 ◽  
pp. 126367
Author(s):  
Jinhong Wu ◽  
Chuangjie Xu ◽  
Lican Wu ◽  
Dongmei Deng
Keyword(s):  
Harmonic Potential ◽  
Vortex Beams ◽  
Propagation Dynamics

scholarly journals Propagation dynamics of autofocusing circle Pearcey Gaussian vortex beams in a harmonic potential

2020 ◽  
Vol 28 (1) ◽  
pp. 325 ◽  
Author(s):  
Chao Sun ◽  
Dongmei Deng ◽  
Xiangbo Yang ◽  
Guanghui Wang
Keyword(s):  
Harmonic Potential ◽  
Vortex Beams ◽  
Propagation Dynamics

Investigation of propagation dynamics of truncated vector vortex beams

2018 ◽  
Vol 43 (11) ◽  
pp. 2579 ◽  
Author(s):  
P. Srinivas ◽  
C. Perumangatt ◽  
Nijil Lal ◽  
R. P. Singh ◽  
B. Srinivasan
Keyword(s):  
Vortex Beams ◽  
Propagation Dynamics

A Study of Malware Propagation Dynamics in Wireless Sensor Network using Spatially Correlated Security Model

2020 ◽  
Vol 13 ◽  
Author(s):  
Satya Ranjan Biswal ◽  
Santosh Kumar Swain
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Network ◽  
Spatial Correlation ◽  
Malicious Code ◽  
Wireless Sensor ◽  
Epidemic Theory ◽  
Malware Propagation ◽  
Proposed Model ◽  
Propagation Dynamics

: Security is one of the important concern in both types of the network. The network may be wired or wireless. In case of wireless network security provisioning is more difficult in comparison to wired network. Wireless Sensor Network (WSN) is also a type of wireless network. And due to resource constraints WSN is vulnerable against malware attacks. Initially, the malware (virus, worm, malicious code, etc.) targets a single node of WSN for attack. When a node of WSN gets infected then automatically start to spread in the network. If nodes are strongly correlated the malware spreads quickly in the network. On the other hand, if nodes are weakly correlated the speed of malware spread is slow. A mathematical model is proposed for the study of malware propagation dynamics in WSN with combination of spatial correlation and epidemic theory. This model is based on epidemic theory with spatial correlation. The proposed model is Susceptible-Exposed-Infectious-Recover-Dead (SEIRD) with spatial correlation. We deduced the expression of basic reproduction number. It helps in the study of malware propagation dynamics in WSN. The stability analysis of the network has been investigated through proposed model. This model also helps in reduction of redundant information and saving of sensor nodes’ energy in WSN. The theoretical investigation verified by simulation results. A spatial correlation based epidemic model has been formulated for the study of dynamic behaviour of malware attacks in WSN.

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