参赛队号：# 34768
Abstract
At present, network technology has developed rapidly, but in the distributed environment of
wireless network communication system, information transmission between nodes is more complex.
Therefore, the study of wireless network communication efficiency has certain significance. In this
paper, in a given wireless network environment, the indicators that can reflect the overall communi-
cation efficiency of the network are extracted, and a regression model is established to describe the
overall communication efficiency of the network after the quantitative analysis of the indicators.
For problem 1: By analyzing the environment in wireless network, the motion of communica-
tion node can be regarded as the form of Brownian motion because the communication node moves
continuously at low speed. Whether the node receives information is related to the communication
distance. The superposition principle is used to count the conflicting information sent, received and
generated by a node. The wireless network communication nodes are studied in a three-dimensional
space. According to the distance between the dynamic nodes, the information sent, received and
communication conflicts are studied for each node in a certain period of time, and the four indexes
of conflict rate, delay rate, throughput rate and bearing rate are obtained. The correlation analysis
between the four indicators and the communication efficiency is carried out respectively, and then
the regression model of communication efficiency is established through the regression analysis. In
other words, a linear combination of four indexes is obtained to represent the overall communication
efficiency of the network.
Through simulation, we can obtain multiple sets of data on communication efficiency and con-
flict rate, delay rate, throughput rate and load-bearing rate, and the regression coefficient of the
regression model is solved by the program of linear regression model, that is, the overall commu-
nication efficiency model of the network is obtained. The feasibility and accuracy of the model are
further illustrated by an example.
For problem 2: When the message is sent, there is a conflict. Under the same condition, we
study how to adjust the retransmission period to make the network communication efficiency as high
as possible. Because of the significant characteristics between the carrying capacity of the network
and the conflict, the model of problem two is discussed in light load and heavy load. Taking light
load as an example, the point set of node communication conflicts is determined by establishing
the minimum connected dominating set with communication conflicts, and the communication con-
flicts are minimized and minimized by separating the conflict domains and establishing independent
subsets. In combination with the communication efficiency model in problem 1, the index is further
described to find the maximum of the communication efficiency, so as to solve the corresponding
time period. The time period of retransmission can be obtained from the time and time period re-
quired to complete this process. That is, through the corresponding algorithm, combined with the
model of problem one, the network system can automatically adjust the retransmission period.
We used the software MATLAB2018a to carry out the simulation and dynamic simulation on
the communication network with the number of nodes of 10, and the corresponding time period of
retransmission under high communication efficiency can be obtained when there is conflict.
At the end of this paper, we analyzed the advantages and disadvantages of the model and its
solution of problem 1 and problem 2, and explained the prospect of the model.
Key words: Communication conflict ; Overall communication efficiency ; The regression
model; Dynamic simulation; The simulation;
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