Multiobjective Deployment Optimization for Multi-Access Edge Servers

Effective association between multi-access edge servers and devices can provide high quality communication service for Industrial Internet of Things. However, most researches focus on the scenario of single association state, which brings challenges to delay and data security. Therefore, under the multi-association mechanism, this paper constructs a four-objective optimization model for multi-access edge servers deployment by comprehensively considering the total delay, load balancing, energy efficiency and privacy entropy. And an improved multiobjective evolutionary algorithm based on adaptive weighted indicators is proposed. Compared with other algorithms, the improved algorithm can solve the deployment optimization problem of multi-access edge servers more effectively.