Research On Cloud IoT System Which Based On The Device Real-time Simulation Mechanism

Internet of Things(IoT) keeps all things interconnected, expanding the information world to the physical world. IoT technology build a foundation of wisdom community, safe city, smart medicine, etc. In the course of realizing the interaction between the physical world and the information world, it is difficult to accomplish transmission in time, keep consistency between the real world and virtual world. This difficulty is illustrated mainly by the following: 1) weak computational and communication ability of sensing device, making it unable to provide a service for huge amount of high real-time requests at the same time; 2) distributed cross-domain data aggregation, resulting in intolerable data transmission delay with a huge variance and unguaranteed real-time data service quality; 3) massive amount of heterogeneous data, causing lower quality of data storing, data processing and service providing; 4) large number of unmonitored devices in sensor networks, leading to the emerge of user id counterfeit or data forgery threat. To solve the problem mentioned above, in this paper, we propose to build a real-time simulation node on top of a distributed cloud computing platform by dint of service providing function in that platform. We study the mechanism of real-time simulation of device, design and implement cloud IoT system, verify the feasibility and effectiveness of our proposed solution in that system.Considering the limited service capability and lower service quality of sensors in IoT, we propose to build a real-time simulation node for sensors on top of a distributed cloud computing platform inspired by the idea of cloudify of storing, computing and service providing. We use efficient data aggregation method to ensure the data consistency between the perception end and the cloud end to design and implement virtual service system for IoT in the cloud. The real-time simulation node also shows the characters of extensibility and enhanced security.Considering the demand of joint service providing by multi-nodes in cross domain, we propose a multi-nodes cooperative service providing method to improve the service efficiency. We build combined service simulation nodes on cloud, and provide services uniformly by combined simulation node, solving the problem of intolerable data transmission delay with a huge variance and unguaranteed real-time data service quality.Based on the model of device simulation in the virtual service system for IoT in the Cloud, we propose a distributed cloud-simulate-IoT service providing method. We use simulation nodes in cloud to virtualize sensing device in IoT. With the support of powerful cloud computing, storing and communication resources, this method meets the demand of large amount of user requests for IoT services and solves the problem of the IoT sensing devices unable to provide a large number of requests for service at the same time.Considering the safety requirements of real-time simulation nodes, we propose a data transmission method which integrates real-time transmission and timing verification which guaranteed the privacy of data in the transfer process. The proposed access control method for periodic cyclic authentication guaranteed the safety of real-time simulation node, solving the threat of user id counterfeit or data forgery in sensor network.Based on the techniques learned, we design the architecture of cloud-simulate-IoT paltform. Combined with the application of digital community and the wisdom barn, we realize digital community IoT cloud system and distributed grain monitoring cloud IoT system and verify the feasibility and effectiveness of the methods proposed in this paper.