The conventional grid system the world has been using ever since its advent in 1890s, but this aging infrastructure of demand driven control structure, has made in way for more robust, fast, inter-connected and a smarter system with a cutting-edge technology called the Smart Grid. Smart grid uses a bidirectional communication model between the consumer and the utility service. The sensing along the communication line is what makes the grid system smart. Linking the smart grid with fog and cloud not only makes the process extra firm but also more secure and reliable. This paper presents a mechanism to reduce the response time in the smart grid architecture so as the system is more responsive. We have introduced a system which reduces the response time in grid system using fog computing. © 2019, Springer Nature Singapore Pte Ltd.

Krishnamoorthy A

Department of Software Systems

School of Computer Science and Engineering

Vellore Campus

Vijayarajan V

Kannadasan R

Kumar S

Agarwal S

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Improving the Response Time in Smart Grid Using Fog Computing

Proceedings of the 2nd International Conference on Data Engineering and Communication Technology Advances in Intelligent Systems and Computing

In highly densely populated country like India, environmental pollution is a major problem. Specifically, the hot mix plant used for laying roadways is posing a threat to the environment by emitting heavy noise and smoke. This paper proposes an air pollution monitoring system that measures the noise generated from polluting hot mix plant and multicast the acquired noise data to the Central Pollution Control Board (CPCB) and other communication media. Initially, the pressure is acquired from sound source by microphone and then converted to electrical signals in time domain. Applying Fast Fourier Transform converts time function into the spectrum of frequency component to which A-weighting filtering technique is applied. The resulting magnitude is given as the input to the microcontroller to calculate the noise in terms of decibels. The calculated value is compared with the ambient air quality standards in respect of noise and then the appropriate outputs are displayed in LCD. The abnormalities are indicated by red, orange and green LED based on the intensity of the sound levels as heavy, medium and normal respectively. To achieve the centralized monitoring process, the results are multicast using GSM module to facilitate the authorities to take the necessary decision. © Springer Nature Singapore Pte Ltd. 2017.

Advances in Intelligent Systems and Computing Proceedings of International Conference on Communication and Networks

An Efficient System Model for Multicasting Measured Noise Value of Polluting Industries

Internet of Things Internet of Everything

Fog Computing: A Taxonomy, Survey and Future Directions

Future Generation Computer Systems

Privacy-preserving deduplication of encrypted data with dynamic ownership management in fog computing

Towards leakage-resilient fine-grained access control in fog computing

Anonymous and secure aggregation scheme in fog-based public cloud computing

Journal	Data powered by TypesetProceedings of the 2nd International Conference on Data Engineering and Communication Technology Advances in Intelligent Systems and Computing
Publisher	Data powered by TypesetSpringer Singapore
ISSN	21945357
Open Access	No