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基于螢火蟲(chóng)算法的移動(dòng)邊緣計算網(wǎng)絡(luò )帶寬資源優(yōu)化策略
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1.廣州華商學(xué)院 2.數據科學(xué)學(xué)院

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國家自然科學(xué)基金項目(面上項目,重點(diǎn)項目,重大項目)


Bandwidth resource optimization strategy of mobile edge computing network based on Firefly algorithm
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    摘要:

    由于移動(dòng)邊緣計算網(wǎng)絡(luò )在邊緣位置部署,在多用戶(hù)并發(fā)的情況下帶寬資源優(yōu)化策略容易出現高計算負荷,降低帶寬資源優(yōu)化的效果。為了解決這一問(wèn)題,提出基于螢火蟲(chóng)算法的移動(dòng)邊緣計算網(wǎng)絡(luò )帶寬資源優(yōu)化策略。在服務(wù)器之間數據連續傳輸的情況下,確定網(wǎng)絡(luò )內用戶(hù)分布情況,計算網(wǎng)絡(luò )運行需要消耗的能量,利用螢火蟲(chóng)算法建立以帶寬資源為中心的數學(xué)模型,以移動(dòng)邊緣計算網(wǎng)絡(luò )的各項參數作為依據,對數學(xué)模型求解,得到最優(yōu)解后,以用戶(hù)最大收益為目標部署優(yōu)化策略。實(shí)驗結果表明:提出的基于螢火蟲(chóng)算法的帶寬資源優(yōu)化策略計算延遲小,網(wǎng)絡(luò )帶寬資源優(yōu)化效能高,整體計算性能得到了明顯提升。

    Abstract:

    Because mobile edge computing networks are deployed at the edge, the bandwidth resource optimization strategy is prone to high computing load in the case of multi-user concurrency, reducing the effect of bandwidth resource optimization. In order to solve this problem, a mobile edge computing network bandwidth resource optimization strategy based on Firefly algorithm is proposed. In the case of continuous data transmission between servers, determine the distribution of users in the network, calculate the energy consumed by the network operation, use the Firefly algorithm to establish a mathematical model centered on bandwidth resources, and solve the mathematical model based on various parameters of the mobile edge computing network. After the optimal solution is obtained, deploy the optimization strategy with the maximum benefit of users as the goal. The experimental results show that the proposed bandwidth resource optimization strategy based on the Firefly algorithm has low computing delay, high efficiency of network bandwidth resource optimization, and the overall computing performance has been significantly improved.

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徐勝超,陳 剛,楊 波,毛明揚,王宏杰.基于螢火蟲(chóng)算法的移動(dòng)邊緣計算網(wǎng)絡(luò )帶寬資源優(yōu)化策略計算機測量與控制[J].,2023,31(11):280-285.

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歷史
  • 收稿日期:2023-06-29
  • 最后修改日期:2023-07-28
  • 錄用日期:2023-07-31
  • 在線(xiàn)發(fā)布日期: 2023-11-23
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