Computational offloading Strategy based on Dynamic Particle Swarm for Multi-User Mobile Edge Computing

With the development of the Internet of Things, the number of existing mobile terminals is increasing, more and more data need to be processed, and the requirements for performance and computational analysis capabilities of mobile terminals are getting higher and higher, but the price of existing mobile devices will follow Performance has increased dramatically, so we need to consider both cost and performance factors, and the proposed mobile edge calculation lays the theoretical foundation for solving this problem. In this paper, two improved particle swarm optimization algorithms, combined with the greedy strategy particle swarm optimization algorithm and dynamic particle swarm optimization algorithm, optimize the task assignment and carry out a series of experiments and tests.