Research On The Information Diffusion In Social Internet Of Things For Emergency Scenarios

With the improvement of the performance of smart devices and the development of 5G,the Internet of Things(Io T)has witnessed rapid development in recent years.As an important application scenario of the Internet of Things,a variety of emergency information will be generated in the emergency scenario,which needs to be diffused to potential affected users in a timely manner.However,the traditional information diffusion strategies,such as using roadside units or base stations to spread information to smart devices in the form of broadcast,have great randomness and cannot guarantee the timeliness and effectiveness of information diffusion.At the same time,the coverage of roadside units and base stations is also limited.Therefore,information diffusion strategies based on the Internet of Things are proposed,such as content sharing between devices based on Device to Device(D2D)communication mode.Since most Io T devices are carried by people,it is necessary to consider the influence of social relationships between devices on information diffusion performance.The social Internet of Things,as an extension of the Io T,applies the social attributes between people to things and establishes the social relationships between devices.Intelligent devices can exchange information,discover services,and share content autonomously.Therefore,the information diffusion method based on social Internet of things has a higher speed of information diffusion,which ensures the effectiveness and timeliness of information diffusion.Based on the social Internet of things,this paper studies the information diffusion mode based on the social Internet of things in the emergency scenario,and improves the speed and efficiency of the emergency information diffusion.The main work and contributions of this paper are as follows:Considering that the centralized emergency information diffusion strategy based on the base station has certain limitations and the base stations are under tremendous data transmission pressure when it transmits emergency information to a large number of user devices.This paper proposes an emergency information diffusion strategy based on many-to-many matching in social Internet of things.The mobility of devices is modeled as a continuous time Markov chain,and the contact probability of users is estimated by the time interval and duration of contact between devices.In addition,the contact intensity and interest similarity between devices are modeled to estimate the strength of social relationship between devices.By combining the mobility of smart devices with social relationships,a social relationship graph among smart devices was constructed.Then,the emergency information diffusion problem was modeled as the initial diffusion device selection problem,and a low-complexity emergency information diffusion strategy based on many-to-many matching was proposed.The simulation results show that the proposed algorithm has lower diffusion delay and higher reception rate than the existing emergency information diffusion strategies.Aiming at the emergency information diffusion problem in urban roads,this paper proposes an influence maximization emergency information diffusion strategy based on social Internet of Vehicles.Due to the highly dynamic nature of vehicles,information diffusion based on fixed roadside units may have a lower information transmission rate and a limited influence range of emergency information.To solve the above problems,this paper proposes an emergency information diffusion strategy based on social Internet of Vehicles,in which emergency information is exchanged between vehicles through stable vehicle-to-vehicle links.To be specific,this paper first designs a stable link construction algorithm based on b-matching to build stable links between vehicles.Then,an emergency information influence maximization algorithm based on social social Internet of Vehicles is proposed to maximize the influence range of emergency information.On this basis,the vehicle influence boosting algorithm is proposed to further improve the influence range of emergency information.Theoretical analysis and simulation results show that the algorithm has a larger influence range and a lower information diffusion delay.This thesis contains 22 figures,3 tables and 78 references.