Fog Computing for Smart Grid Development and Implementation


Palanichamy, Naveen and Wong, Kiing Ing (2019) Fog Computing for Smart Grid Development and Implementation. In: 2019 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS), 11-13 April 2019, Tamilnadu, India.

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The Smart Grid (SG) is the emerging energy systems that are enticed by smart devices and entities to support its control and monitoring. The SGs” core challenge is how to efficiently utilize different types of smart front-end devices, such as smart meters and power assets, and process the huge volume of data from these devices. Cloud Computing (CC) provides flexible services and resources to comply with SG application”s computational requirements. Although the CC model is considered efficient for SG, the Quality of Experience (QoE) requirements, such as energy consumption, latency, bandwidth and network cost, for SG services are not guaranteed. Fog Computing (FC) reaches the edge of a network Computing providing low latency, latency - sensitive analytics and location awareness to satisfy the critical SG application”s mission requirements. The aim of this work is to comprehend FC applicability to interplay with the cloud support, thus enabling to develop a new range of latency-free utilities in real time. In this paper, we provide an in-depth survey on various fog computing approaches for smart grid architecture. Also, the current state of research on the development of smart grids is presented in this survey.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Fog Computing, Smart Grid, Cloud Computing
Subjects: Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions: Faculty of Computing and Informatics (FCI)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 27 Jan 2022 01:38
Last Modified: 27 Jan 2022 01:38


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