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Task Offloading of Intelligent Building Based on CO–HHO Algorithm in Edge Computing
Yi Lingzhi,Gao Xieyi,Li Zongpin,Feng Xiaodong,Huang Jianxiong,Liu Qiankun 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.6
With the rapid development of intelligent devices, the intelligence of buildings is becoming more and more obvious, which leads to the rapid growth of data generated by building users. The existing network bandwidth is far from enough for the transmission of existing data, which will lead to congestion in the process of data transmission. In this paper, a task offl oading strategy based on edge computing is proposed. The edge server is deployed near the data source, which mainly solves the problems of transmission delay and energy consumption of building users during task offl oading. In this paper, the mathematical model of system delay and energy consumption is established fi rst. In order to better refl ect the quality of the system, the delay and energy consumption are combined into system utility, and then the objective function is established. Since the objective function is a mixed integer nonlinear programming problem, fi nding the optimal solution usually requires exponential time complexity. Therefore, this paper fi rstly uses the Tammer decomposition method to decouple the objective function, and decomposes it into the resource allocation problem of fi xed task offl oading decision and the task offl oad problem of maximizing the objective function. Then the convex optimization (CO) theory is used to greatly reduce the complexity of the objective function and optimize the resource allocation problem. Finally, the task offl oading problem is solved by the improved Harris Hawks Optimization (HHO) . The paper compares various offl oading schemes. The simulation results show that the CO–HHO offl oading strategy based on edge computing proposed in this paper can eff ectively reduce the transmission delay and energy consumption of user tasks in intelligent buildings, and is superior to others in all aspects.
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