Research And Design Of Information Transmission And Forwarding Strategy Based On Opportunistic Network

At present,China's mobile industry is developing rapidly,and the number of mobile terminals is increasing.The types of information storage transmission and forwarding become complicated.People are increasingly demanding data transmission efficiency in busy work and living environments,and the transmission and stability of information transmission methods are highly respected by everyone.Thus,information storage transfer between devices is problematic.The main way of information transmission is the traditional network that relies on infrastructure and the self-organizing network that relies on short-range wireless communication technology.These two kinds of information transmission and forwarding methods cannot meet the needs of today's people,in order to improve information storage transmission.The stability and efficiency of forwarding,this paper mainly completed the following work:(1)In view of the problem of information relying on the traditional network transmission slowly,this paper sets the time to cross a link inversely proportional to the link probability value,and uses the crossing time as the link length,when the node obtains the local link probability of all known nodes,the Dijkstra algorithm is used to calculate the shortest path for the current node to reach the target node.On this basis,the statistical-based link quality evaluation is improved by mining the dependency between neighbor node links,and the opportunity network data storage forwarding transmission mechanism based on the WiFi module of Android device is designed and evaluated,and its performance is tested and evaluated.(2)The opportunity network message forwarding strategy based on community and interest is proposed,although the opportunity network data storage forwarding mechanism based on the WiFi module of Android device is designed to improve the transmission efficiency,but the transmission is still limited,in the process of information transmission,the user is mobile,Therefore,the distance and location of information transmission will alsobecome uncertain,so the transmission of information is extremely important,in order to more efficient transmission of information,according to the mobility and location of mobile users uncertainty,combined with the time window-based social division method,A time window-based community detection model and a combination of node interest and centrality for message forwarding strategy(IBCA)are proposed.The performance of IBCA forwarding strategy is analyzed and supplemented by experiments,and by comparing the forwarding strategy proposed in this paper with the existing forwarding strategy(Bubble and PerEvo forwarding strategy)on the transmission success rate and transmission cost,the experimental results show that the IBCA forwarding strategy proposed in this paper is superior.