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基于改進(jìn)SMDP的車(chē)載任務(wù)卸載決策算法
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長(cháng)安大學(xué) 信息工程學(xué)院

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An Offloading Algorithm of Vehicle Tasks Based on Improved SMDP
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    摘要:

    針對邊緣服務(wù)器的負載過(guò)重問(wèn)題,可以將路邊空閑車(chē)輛以及移動(dòng)車(chē)輛應用虛擬化技術(shù)整合成資源池,為時(shí)延敏感類(lèi)任務(wù)提供彈性服務(wù);由此建立了一個(gè)分組傳輸的通信系統模型,為降低二進(jìn)制指數退避算法中的信道碰撞概率,采用基于網(wǎng)絡(luò )車(chē)輛節點(diǎn)的數量來(lái)適當調整最小競爭窗口的方法;結合分配資源的時(shí)序決策特點(diǎn),提出車(chē)載邊緣計算系統中基于改進(jìn)的半馬爾科夫決策過(guò)程的計算卸載策略,在制定系統動(dòng)作的最優(yōu)策略時(shí),引入帶有余弦項的非線(xiàn)性權重因子,對立即收益和未來(lái)期望收益進(jìn)行動(dòng)態(tài)加權,根據貝爾曼方程進(jìn)行價(jià)值迭代,實(shí)現系統長(cháng)期收益的最大化;仿真結果表明,所提策略能有效降低卸載時(shí)延,提高系統吞吐量,同時(shí)系統的長(cháng)期收益也有顯著(zhù)的提升。

    Abstract:

    To solve the overload problem of edge servers, the virtualization technology can be applied to integrate idle vehicles on the roadside and mobile vehicles into a resource pool to provide elastic services for delay-sensitive tasks. Therefore, a communication system model of packet transmission is established. In order to reduce the probability of channel collision in the binary exponential backoff algorithm (BEB), the minimum competition window is adjusted according to the number of vehicle nodes in the network. Considered the characteristics of timing decision of resource allocation, a computational offloading strategy is proposed for vehicle edge computing (VEC) system based on the improved semi-Markov decision process(SMDP). When formulating the optimal strategy of system action, nonlinear weight factor with cosine term is introduced to dynamically weight immediate reward and future expected reward. An iterative algorithm based on Bellman equation is utilized to approach the maximum long-term reward. Simulation results show that the proposed strategy can effectively reduce offloading delay, optimize throughput, and significantly improve the long-term rewards of the system.

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趙振博,付青坤,任雪容.基于改進(jìn)SMDP的車(chē)載任務(wù)卸載決策算法計算機測量與控制[J].,2024,32(6):206-212.

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歷史
  • 收稿日期:2023-06-16
  • 最后修改日期:2023-07-16
  • 錄用日期:2023-07-17
  • 在線(xiàn)發(fā)布日期: 2024-06-18
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