In order to solve the problems of poor stability and low efficiency of industrial IoT resource allocation system, a dynamic resource allocation method based on bee colony algorithm for industrial IoT edge computing was proposed. First of all, an architecture integrating the advantages of cloud computing and edge computing was built. Secondly, an energy consumption calculation model was constructed and optimisation objective functions and constraints were set. Then, the bee colony algorithm is used to optimise the dynamic resource allocation of edge computing. This algorithm simulates the honey harvesting behaviour of bees and efficiently searches for the optimal resource allocation plan in the solution space through the collaborative effect of hiring bees, observing bees, and reconnaissance bees. Experimental results have shown that the proposed method consistently maintains a throughput of over 45 Mbit/s, with high efficiency in processing task requests and resource allocation, and better system stability.
Wang et al. (Wed,) studied this question.