Title: A dynamic resource allocation method for edge computing of industrial internet of things based on bee colony algorithm

Authors: Yanrong Wang; Xiaokun Huang; Ying Li

Addresses: Continuous Education College, Jiaozuo University, Jiaozuo, 454000, Henan, China ' Sungkyunkwan University, Seoul, 03065, Korea ' School of Information Engineering, Jiaozuo University, Jiaozuo, 454000, Henan, China

Abstract: 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.

Keywords: internet of things; IoT; dynamic resource allocation; edge computing; bee colony algorithm.

DOI: 10.1504/IJISTA.2025.151546

International Journal of Intelligent Systems Technologies and Applications, 2025 Vol.23 No.4, pp.380 - 394

Received: 02 Sep 2024
Accepted: 30 Oct 2024
Published online: 05 Feb 2026 *

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