.png){kind=icon}
返回
Multi-node data exchange traffic analysis for a communication framework embedded on smart meters
.png){kind=icon}
PRE
AI
DOI：10.1016/j.epsr.2021.107734.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper proposes a multi-frame communication framework, which is open, scalable and supports multiple connection from smart meters. The framework uses an architectural model based on Design Patterns and Object Oriented principles to guarantee a high cohesion and low coupling among its modules. In this sense, the main contribution of the present paper is to analyze the behaviour of an innovative communication framework in a realistic data transfer scenario. For this purpose, the multi-connection performance was evaluated based on packet throughput and computational cost on the processing device that receives connections from other nodes. Moreover, it was also considered the computational cost due to data encryption and the use of distinct hardware devices to validate the interoperability and define the limitations and constraints. For these purposes, some laboratory experiments were performed, demonstrating that the proposed framework is able to avoid a burst of data transfer for simultaneous connections and to support a good overall throughput in the server node (between 1406.14 and 2120.27 KB/s). Thus, the proposed framework represents a reliable and maintainable solution that can be embedded in smart meters.
Keyword:
Data exchange
Embedded algorithm
Multi-connection
Open source framework
Smart grids
Smart meters
期刊
IF:
4.2
论文数:
1.2W
被引数:
2.2W
机构
引用论文
Deep Transfer Learning-Based Feature Extraction: An Approach to Improve Nonintrusive Load Monitoring基于深度迁移学习的特征提取: 一种改进非侵入式负载监测的方法.png)
IEEE ACCESS
OAAI
IEEE ACCESSIF3.6
OAAI分享收藏A Survey on Smart Grid Communication Infrastructures: Motivations, Requirements and Challenges智能电网通信基础设施综述: 动因、需求与挑战OAAI
OAAI分享收藏
分享收藏
查看更多内容