Evaluation Methods of Service Transmission Path Selection in IMT-A Complex Network Environment

2014 ◽  
Author(s):  
Shanji Chen ◽  
Weidong Fang ◽  
Guoqing Jia ◽  
Chao Chen
Keyword(s):  
Complex Network ◽  
Evaluation Methods ◽  
Path Selection ◽  
Network Environment ◽  
Transmission Path

scholarly journals An Energy Aware Multipath Routing Algorithm for Wireless Sensor Networks

2017 ◽  
Vol 13 (04) ◽  
pp. 45 ◽  
Author(s):  
Liping LV
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Sensor Network ◽  
Data Transmission ◽  
Routing Algorithm ◽  
Path Selection ◽  
Low Energy ◽  
Wireless Sensor ◽  
Energy Aware ◽  
Transmission Path

<p class="0abstract"><span lang="EN-US">Wireless sensor network is a new field of computer science and technology research. It has a very broad application prospects. In order to improve the network survival time, it is very important to design efficient energy-constrained routing protocols. In this paper, we studied the characteristics of wireless sensor networks, and analyzed the design criteria of sensor network routing algorithms. In view of the shortcomings of traditional algorithms, we proposed an energy-aware multi-path algorithm. When selecting a data transmission path, the energy-aware multi-path algorithm can avoid nodes with low energy levels. At the same time, it takes the remaining energy of the node and the number of hops as one of the measures of the path selection. The multi-path routing algorithm realized the low energy consumption of the data transmission path, thus effectively prolonging the network lifetime. Compared with the traditional algorithm, the results show that our method has high reliability and energy efficiency.</span></p>

A Discovery Method of the Dirty Data Transmission Path Based on Complex Network

2014 ◽  
Vol 651-653 ◽  
pp. 1741-1747
Author(s):  
Xiao Lin Zhao ◽  
Gang Hao ◽  
Chang Zhen Hu ◽  
Zhi Qiang Li
Keyword(s):  
Complex Network ◽  
Data Transmission ◽  
Software System ◽  
Power Law Distribution ◽  
Scale Free ◽  
Transmission Path ◽  
Binary File ◽  
Weighted Directed Graph ◽  
Dirty Data ◽  
Discovery Method

With the increasing scale of software system, the interaction between software elements becomes more and more complex, which lead to the increased dirty data in running software system. This may reduce the system performance and cause system collapse. In this paper, we proposed a discovery method of the dirty data transmission path based on complex network. Firstly, the binary file is decompiled and the function call graph is drawn by using the source code. Then the software structure is described as a weighted directed graph based on the knowledge of complex network. In addition, the dirty data node is marked by using the power-law distribution characteristics of the scale-free network construction of complex network chart. Finally, we found the dirty data transmission path during software running process. The experimental results show the transmission path of dirty data is accurate, which confirmed the feasibility of the method.

The Study and Design of a UDP Flow Measurement System

2013 ◽  
Vol 278-280 ◽  
pp. 946-949
Author(s):  
Hai Feng Guo
Keyword(s):  
Complex Network ◽  
Measurement System ◽  
Flow Measurement ◽  
Data Flow ◽  
Comparison Function ◽  
Data Sets ◽  
Network Environment ◽  
Network Bandwidth ◽  
Packet Capture ◽  
The One

Proposed a way to UPD flow and UPD system ideology. The system is considered the one-way characteristics of UDP flow in the backbone of the network, used the WinPcap packet capture technology. The system including network packet captures module, packet replay module, packets spell flow module, UDP analysis module, while using the map template classes in stl, improved the performance of UDP packets through a comparison function with efficient custom;Contrast to the data characteristics under the complex network environment, the system adopts the step-by-step small tools design way to facilitate the system to expand new analysis function. Through the three sets of data : a backbone data sets and two DARPA1999 data sets, it can be seen that the overall development of UDP data flow is expanding the network bandwidth , and small UDP flows is more.The quicker network bandwidth development, the shorter the UDP flows average time.

scholarly journals Complex Network Analysis of Transmission Mechanism for Sustainable Incentive Policies

2020 ◽  
Vol 12 (2) ◽  
pp. 745 ◽  
Author(s):  
Lingyan Li ◽  
Lujiao Feng ◽  
Xiaotong Guo ◽  
Haiyan Xie ◽  
Wei Shi
Keyword(s):  
Complex Network ◽  
Rational Expectations ◽  
Clustering Coefficient ◽  
Transmission Mechanism ◽  
Sustainable Construction ◽  
Eastern Coast ◽  
Relationship Matrix ◽  
Transmission Path ◽  
External Impact ◽  
Incentive Policies

Existing research mainly focuses on the external impact of incentive policies of industrialized/manufactured construction (IMC). However, it is still unclear how the transmission mechanism among cities and regions of IMC incentive policies works in the process of formulation. To fill the knowledge gap, this study establishes a relationship matrix to propose the transmission-weighted complex network (TWCN). Degree distribution and clustering coefficient are used to calculate the transmission path and the transmission intensity of TWCN. The validation is based on data collected from 415 policy documents (2010–2018) and 2923 items from 181 nodes of the TWCN for IMC policies. The findings show that transmission path of IMC incentive policies is from the eastern coast of China to the central, western and northern regions. Fiscal and taxation incentives have the greatest intensity of spatial agglomeration in the transmission process. The results of the TWCN are consistent and conform to the scientific and rational expectations of research. Overall, the research outcomes are applicable to studies on sustainability policies in different fields, including sustainable construction, renewable energy, etc. Policy makers can implement the TWCN to recognize the performance and functions of different incentives and propose effective strategies to achieve sustainability.

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