This article presents a computational model for the optimum design of an urban inter-modal public transit network. A software tool based on this model was developed to provide useful reference for transport planners in carrying out service planning, routing, and scheduling for an inter-modal transit network. The development of this model is briefly described here. A numerical example is used to illustrate its implementation. Results of sensitivity analyses demonstrate that it is capable of providing reasonable solutions and is responsive to changes in the planning environment.
A hierarchical clustering P2P network model based on user interest is presented in this paper to improve search efficiency. The routers in the network are abstracted as the activated peer node, and the activated routing table is constructed to depict the character of the interest cluster. The P2P network is divided into different subnets according into their interest character, and the corresponding topological structure is build. The corresponding search strategy is proposed based on the above mention method. The simulation results show that compared with the traditional algorithm the interest cluster method proposed in this paper can form cluster more rapidly, and gain the appropriate resources faster.
To ensure the security of data transmission and recording in Internet environment monitoring systems, this paper proposes a study of a secure method of blockchain data transfer based on homomorphic encryption. Blockchain data transmission is realized through homomorphic encryption. Homomorphic encryption can not only encrypt the original data, but also ensure that the data result after decrypting the data is the same as the original data. The asymmetric encrypted public key is collected by Internet of things (IoT) equipment to realize the design of blockchain data secure transmission method based on homomorphic encryption. The experimental results show that the accuracy of the first transmission is as high as 88% when using the transmission method in this paper. After several experiments, the transmission accuracy is high by using the design method in this paper. In the last test, the transmission accuracy is still 88%, and the data transmission effect is relatively stable. At the same time, compared to the management method used in this article, the transfer method used in this paper is more reliable than the original transfer method and is not prone to data distortion. It can be seen that this method has high transmission accuracy and short transmission time, which effectively avoids the data tampering caused by too long time in the transmission process.
With the development of terminal technology and the expansion of application fields, the Internet of Things’ application value and service requirements continue to increase. Efficient data transmission is a reliable guarantee for the development and application of the Internet of Things. Blockchain technology provides a solution for storing and delivering distributed data. On this basis, taking the Industrial Internet of Things as the research object, a blockchain-based data transmission optimization method was established. First, an undirected complete graph model is used to describe the network scene. A matrix grid model is used to replace the randomly distributed set of data nodes. Then, a double optimization method is proposed. We designed the mathematical description and modeling method of the lattice matching decision problem and designed the artificial neural network to find the optimal solution to the problem. Finally, an example is used to verify the government data transmission method’s technical performance and packet loss rate. It has achieved at least 20% and 30% improvements in optimizing the network life of static aggregation nodes and data transmission, respectively. While improving the robustness of the network, it also shows a stable advantage in terms of network energy efficiency indicators.
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