泛在电力物联网中基于网络虚拟化的节能卸载机制

doi:10.12204/j.issn.1000-7229.2022.02.003

摘要/Abstract

摘要：

针对泛在电力物联网(electric internet of things, EIoT)中海量物联网设备信息处理任务卸载到云端时存在能耗较高的问题,文章提出了一种泛在电力物联网中基于网络虚拟化的节能卸载策略。首先由虚拟网络管理层中的虚拟网络控制器采集网络中的任务请求状况与网络状态信息,并构建多目标整数规划模型;然后由路由和优先级决策算法确定物联终端协作节点和划分资源分配优先级,依据上述结果,根据网络单元剩余电量对抽象的虚拟资源进行分配,然后将虚拟链路嵌入到物理链路的未使用资源中,实现资源的重复利用,达到节能的目的;最后提出一种有效性保障策略,保证重用链路的有效性。根据仿真分析证明,文章所提的节能卸载机制在降低网络能耗,优化网络性能方面具有显著成效。

关键词: 电力物联网(EIoT), 光无线接入网, 资源分配, 能量效率, 虚拟化

Abstract:

Aiming at the problem of high energy consumption when the mass information processing tasks of IoT devices are unloaded to the cloud in ubiquitous electric internet of things (EIoT), this paper proposes an energy-saving and unloading mechanism based on network virtualization in ubiquitous electric internet of things. Firstly, the task-request status and network-state information are collected by the virtual network controller in the virtual network management layer, and a multi-objective integer programming model is constructed. Then the collaboration terminal nodes and resources allocation priority are determined by the routing and priority decision algorithm. On the basis of above results, abstract virtual resources are allocated according to the remaining power of the network unit, and then the virtual link is embedded into the unused resources of the physical link to realize the reuse of the resources and achieve the goal of energy saving. Finally, a validity assurance strategy is proposed to ensure the validity of the reused link. According to the simulation analysis, it is proved that the energy-saving and unloading mechanism proposed in this paper has significant effects in reducing network energy consumption and optimizing network performance.

Key words: electric internet of things(EIoT), fiber-wireless access network, resources allocation, energy efficiency, virtualization

中图分类号:

TM73
TN92

张国江, 李勇, 陈挺, 刘洪. 泛在电力物联网中基于网络虚拟化的节能卸载机制[J]. 电力建设, 2022, 43(2): 18-25.

ZHANG Guojiang, LI Yong, CHEN Ting, LIU Hong. Energy-Saving and Unloading Mechanism Based on Network Virtualization in Ubiquitous Electric Internet of Things[J]. ELECTRIC POWER CONSTRUCTION, 2022, 43(2): 18-25.

图/表 10

图1 虚拟化融合边缘云联合FiWi网络架构

Fig.1 Architecture of virtual fusion edge cloud with FiWi network

表1 路由和优先级决策算法

Table 1 Routing and priority decision algorithms

表2 电量驱动的信道分配策略

Table 2 Power-driven channel allocation strategy

表3 链路重用策略

Table 3 Link reuse strategy

表4 有效性保障策略

Table 4 Validity guarantee strategy

表5 仿真参数

Table 2 Simulation parameters

图2 不同MEC负责下的网络能耗

Fig.2 Network energy consumption under different MEC

图3 不同MPCP信令帧持续时间下的网络能耗

Fig.3 Network energy consumption under different signaling frame durations of MPCP

图4 卸载方案对时延影响

Fig.4 Effect of unloading scheme on delay

图5 重用方案对时延影响

Fig.5 Effect of reuse scenarios on delay

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