With the rapid popularization of current Internet of Things (IoT) technology and 5G networks, as well as the continuous updating of new service lifestyles and businesses, the era of big data processing for the IoT has arrived. However, centralizing all data for processing in the cloud can lead to issues such as communication latency and privacy breaches. To solve these problems, edge computing, as a new network architecture close to terminal data sources and supporting low latency services, has gradually emerged. In this context, cloud edge collaborative computing has become an important network architecture. With the changing security requirements and communication methods of cloud edge collaborative network architecture, traditional authentication key agreement protocols are no longer applicable. Therefore, a new IoT authentication and key agreement protocol needs to be designed to solve this problem. This study proposes an IoT accessible solution for cloud edge collaboration. This scheme adopts a chaotic mapping algorithm to achieve efficient authentication. It ensures the anonymity and untraceability of users. Following this, we conducted strict security verification using BAN logic and Scyther tools. Through experimental comparative analysis, the research results show that the protocol performs better than other schemes while ensuring security. This indicates that the protocol can achieve efficient authentication and key negotiation in cloud edge collaborative network architecture, providing a secure and reliable solution for the accessibility of the IoT.

A dynamic charge equalization scheme of series battery packs using multiple-winding transformer is presented in this paper. The proposed cell to cell type balancing control scheme is designed to be many bidirectional forward converter operated at discontinuous inductor current model for reducing the switching loss. Simulation and experimental results show that the proposed battery equalization scheme can efficiently remove energy from a stronger cell and transfer that energy into a weaker one. An evaluation of the proposed scheme was developed and tested in the laboratory and experiment results verify the theoretical expectation.

An intelligent battery equalization scheme using multiple winding transformer for series connected lithium-ion batteries string is presented. The proposed scheme maintains each battery modules at the same charge level by shunting energy from one or more strong cell to one or more weak one in a nondissipative manner. Experiment result shows that the proposed equalizers can achieve individual cell equalization for series connected battery string.

A major problem for crack or electromagnetic property measurement in eddy current detection technique is the lift-off effect. The nonzero value of lift-off distance tends to smear out the discontinuity in the detected signal, causing errors detection. The paper shows the test results of lift-off effect in normalized impedance plane. Curves are transformed to Hough plane by Hough transform and consequently the lift-off effect is suppressed effectively. The method is convenient to distinguish different electromagnetic characteristic of material which can be used to detect crack or other flaws in material.