The Design And Implementation Of WiFi Network Intelligently Choosing And Sharing Schme

With the rapid development of wireless communication industry and the better support of mobile terminals for a variety of communication protocols and services,there is an increasingly demand for the quality of mobile network service.Although there are many advantages of cellular networks such as the fast communication rate and the wide city coverage,it has limitations,especially for the mobile device users.When it comes to these situations which need large throughput such as using video and audio applications,cellular networks will cost too much tariff and the bandwidth tends to be limited by the network environment and service providers.Thus the WiFi(Wireless Fidelity)network is necessary for us.WiFi network has become the first choice for wireless device users by virtue of the high transformation rate,the strong signal intensity and the lower price.At the same time,problems still exist that the WiFi network resource utilization and the safety level are low and sometimes there is botnet fraud.How to solve these problems is a challenge.Besides,it is also paramount to do research for selecting the optimal network within a quantity of WiFi nodes.To solve the existing problems above,we need to accomplish the following tasks which is the significance of this thesis.These tasks include:meeting the user demand for WiFi networks,improving WiFi network resource utilization by avoiding duplication of investment in WiFi network building,managing the account and the password of WiFi,strengthening the safety of the nodes,filtrating the optimal node within all nodes in the current area and enable nodes to connect the network and obtain the certification automatically.Firstly,we do the research for the WiFi protocol and the information of WiFi nodes.After the analysis and comparison of the factors for affecting the WiFi signal quality,such as signal intensity,rate and signal channel quality,an intelligent WiFi selection algorithm scheme is designed according to the different effects from each factor.The WiFi filtration and assessment is completed from these three aspects:signal intensity,signal transportation rate and signal channel quality.At last,the function of the optimal WiFi selection and automatically connection and certification is completed.Secondly,we provide a scheme of WiFi network hotspot sharing based on the characteristics of low resource utilization and weak safety.A backend server is established to maintain the sharing WiFi list,upload the network node information,synchronize the list from local and backend database and download the node information.In consequence,strange users can connect strange network and the resource utilization is improved.The server manages the account and the password of WiFi node which strengthens the safety of WiFi nodes.At last,we develops an application for WiFi intelligent selection and WiFi node sharing scheme based on the Android platform.This scheme provides a solution for avoiding WiFi resource wasting.It also provides the function of optimal network selection,which improves the safety of nodes and WiFi resource utilization and avoid the duplication investment of WiFi building.This meets the users,demand and has reality significance.