Empirical Analysis Of Short-range Wireless Network And Design Of Data Collection Platform

Along with the development of society and the advancement of Internet technology,people have entered the 5G era,in which everything is connected.Nowadays,wireless communication technology has been highly developed,and people have put forward new requirements for short-range wireless communication technology.The short-range wireless network composed of short-range wireless communication can extract the characteristics of a community or a group for modeling human social groups and analyzing protocol algorithms better.Meanwhile,the characteristic information is an effective factor for deep understanding of human social behavior and promotion of human social development.Therefore,it is necessary to study shortrange wireless networks.At present,the research on short-range wireless communication protocols and algorithms has become a research hot spot.However,due to the lack of the analysis on short-range wireless network data it is relatively difficult for researchers to choose appropriate data sets.In order to solve the above problems,the following works have been done in this thesis.Firstly,this thesis introduces short-range wireless networks and discusses the significance of short-range wireless networks,with the analysis of the data requirements from short-range wireless network architecture and research of behavior and algorithm.In the field of architecture and behavior research,a large number of relevant literature on short-range wireless network modeling and node behavior prediction are summarized.In terms of algorithm research,a lot of related literature about routing protocol algorithms and trust security between nodes are summarized.The summary of these literature not only demonstrates the author's research results but also focuses on the data feature requirements of short-range wireless network data in different application scenarios.Finally,the conclusion of data feature requirements in various application scenarios is drawn.Secondly,in this thesis,the 22 short-range wireless network data sets mentioned above literature are divided into three categories(ie,Bluetooth,WiFi and other methods)to analyze their data characteristics.The analysis of characteristics includes the specific experimental collection environment,experiment time,network scale,data format,and other factors of these data sets.After that,with the processed data set,the complementary cumulative distribution diagram of the contact duration and contact interval time of most data sets and the special attribute feature distribution map of a small part of the data set are made.Furthermore,it can be seen that the short-range wireless characteristics of each data set and the similarities and differences between different types of network data.Finally,this thesis provides not only guidance for some researchers who need to select a data set for analysis or application,but also a reference for those who want to actually conduct experiments to collect new data sets.At the same time,this thesis also builds a short-range wireless network data collection platform based on ZigBee technology.The data collection work is completed through actual deployment experiments,which proves that the platform has stability,reliability,easy operation,etc.,which is enough to meet the actual experimental data collection work.