基于计算卸载的电力物联网能效优化研究

基于异构网络架构，考虑基于三层计算的电力物联网移动边缘计算架构，构建了各层计算的能量消耗模型和延迟模型，实现智能移动设备的任务从本地计算卸载到小基站的边缘服务器和宏基站边缘云服务器进行计算。针对电力物联网计算卸载的能耗最小化问题，采用变量替换分解问题，并利用目标函数单调性进行理论推导，得到优化的参数解。仿真结果表明，通过与其他方案相比，所提优化方案可以在较小的延迟条件下，实现优化的节能效果。

Energy Efficiency Optimization Based on Computing Offloading for Internet of Things in Power Systems

Based on the heterogeneous network architecture, in this paper by taking into account the mobile edge computing (MEC) architecture of Internet of things in power systems using three-tier computing, the energy consumption model and delay model are established respectively for each tier. Then the related tasks are offloaded from local computation in smart mobile device (SMD) to the MEC servers of small base station (SBS) and macro base station (MBS). To minimize the energy consumption due to the computing offloading, through variable substitution and decomposition, then by taking advantage of theoretical derivation based on the objective function monotonicity, the optimal solution is finally obtained. Simulation results show that, in comparison with other methods, the proposed scheme can achieve the effects of energy saving with less time delay.