To provide secure communication for universal mobile telecommunications system (UMTS) Mobile Networks, authentication and key agreement (AKA) is carried out between the user and the home environment, and the authentication protocol is an important primitive for entity authentication and session keys. The current authentication protocol is giving a reasonable security level. However it is overloading the network with significant signaling traffic and increasing the call setup time. The signaling load and authentication delay are of particular importance for the efficient authentication. In this paper, we will study and analyze the current authentication protocol, and propose an improved scheme. The proposed protocol only requires a little modification based on the current protocol. It reduces the number of messages and requires less traffic, bandwidth between the user and Visited Location Register (VLR). The more apparent improvement is that the proposed scheme is clearly causing less delay, and it can be better used in UMTS networks.
The development and popularization of mobile Internet and wireless communication technology have spawned a large number of computation-intensive and delay-intensive applications. Limited computing resources and existing technologies cannot meet the performance requirements of new applications. Mobile edge computing technology can use wireless communication technology to offload data to be stored and computing tasks to the nearby assistant or edge server with idle resources. Based on the data offloading of distributed wireless sensor device to device communication, the architecture is designed and the basic framework of distributed mobile edge computing is constructed. To solve the problem of high mobile cloud computing technology, the offloading model of optimized mobile edge computing was proposed, and the stability and convergence of the proposed algorithm were proved. Finally, the system performance of the proposed algorithm is verified by simulation. The results show that the proposed algorithm can converge within a finite number of steps. Compared with other benchmark schemes, the proposed algorithm has better performance in reducing system energy consumption, reducing moving edge response delay and system total delay.
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