Modeling and analysis of the radio wave depolarization in urban environments

2012 ◽  
Vol 5 (4) ◽  
pp. 338-351 ◽  
Author(s):  
Thierry Tenoux ◽  
Yves Lostanlen
Author(s):  
Wenbin Liu ◽  
Dongbing Liu

On the basis of propagation the characteristics of Multi-hop High-Frequency Radio waves in Marine environment, the modeling and analysis method of ocean signal reflection model are firstly introduced from the attenuation of the radio wave. Then the difference between the influence of ocean and earth on wireless communication is studied. By studying the influence of ship on the loss of radio wave propagation, the original ocean model is improved. Finally, an ocean signal reflection model suitable for different marine environments is obtained.


2020 ◽  
Vol 9 (3) ◽  
pp. 163 ◽  
Author(s):  
I. Alihan Hadimlioglu ◽  
Scott A. King ◽  
Michael J. Starek

Flood modeling and analysis has been a vital research area to reduce damages caused by flooding and to make urban environments resilient against such occurrences. This work focuses on building a framework to simulate and visualize flooding in 3D using position-based fluids for real-time flood spread visualization and analysis. The framework incorporates geographical information and takes several parameters in the form of friction coefficients and storm drain information, and then uses mechanics such as precipitation and soil absorption for simulation. The preliminary results of the river flooding test case were satisfactory, as the flood extent was reproduced in 220 s with a difference of 7%. Consequently, the framework could be a useful tool for practitioners who have information about the study area and would like to visualize flooding using a particle-based approach for real-time particle tracking and flood path analysis, incorporating precipitation into their models.


Author(s):  
Giovanni Di Crescenzo ◽  
Yibei Ling ◽  
Tao Zhang ◽  
Stan Pietrowicz

Vehicular networks might be deployed in the near future, and as a consequence a potentially large number of exciting applications are expected to enhance the human driving experience. Unless the security of such applications is guaranteed, however, such enhancements may be accompanied by similarly powerful and yet undesired consequences in malicious behaviour. While current research in the vehicular networks security area has recognized conventional security and cryptographic threats, detailed modeling and analysis of threats that are specific to vehicle traffic are rarely considered in the literature. In this paper we lay ground for a comprehensive investigation of “traffic-related” threats to vehicular networks. We study the problem of modeling traffic-related attacks in these networks and present automatic and efficient (i.e., no human intervention and no expensive cryptographic protocols) yet general solutions to prevent or tolerate a number of these attacks. Specifically, we propose techniques based on the capability of implementing simple and non-interactive voting algorithms that use the mere participations of vehicles to the network and, while doing that, attempt to maximize use of already exchanged and relevant network data. We validate our techniques by providing analysis results based on both simulated and real-life mobility data in typical urban environments. Previous work required interactive protocols to implement voting or consensus techniques, and implicitly left open the question we solve in this paper.


Author(s):  
Bartosz Musznicki

Research into the topology control of Wireless Sensor Networks (WSNs) is geared towards modeling and analysis of methods that may be potentially harnessed to optimize the structure of connections. However, in practice, the ideas and concepts provided by researchers have actually been rarely used by network designers, while sensor systems that have already been deployed and are under continued development in urban environments frequently differ from the patterns and research models available. Moreover, easy access to diversified wireless technologies enabling new solutions to be empirically developed and popularized has also been conducive to strengthening this particular trend.


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