ABSTRACT

Presently, Large communication energy is required for the entire project planning system in automation industries. This paper suggests the loss of energy efficiency modeling based on the Multiple Fuzzy Aggravated Energy Scheduling Approach (MFAESA). The Multiple Fuzzy Algorithms Energy Scheduling Approach in assistance with IoT setting builds up and incorporates the fuzzy algorithm in a single objective energy loss problem, based on the preparation period for energy savings and facilities. The algorithm searches the network's idling time and optimizes the task of preparing the energy usage approach to reduce the IoT system's overall energy usage in automation industries. The results show that Multi-Fuzzy Algorithms Energy Scheming outperforms conventional system design which improves accuracy and reduces the execution time.

摘要

目前，自动化行业的整个项目规划系统都需要大量的通信能量。本文提出了基于多重模糊加重能源调度方法 (MFAESA) 的能效损失建模。基于节能和设施的准备期，辅助物联网设置的多模糊算法能源调度方法建立并将模糊算法纳入单个客观能源损失问题。该算法搜索网络的空闲时间并优化准备能源使用方法的任务，以减少自动化行业物联网系统的整体能源使用。结果表明，多模糊算法能量规划优于传统的系统设计，提高了准确性并减少了执行时间。