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Hardware Implementation of High-performance Classifiers for Edge Gateway of Smart Automobile

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

Fog computing is a key solution for internet of things (IoT) applications, which demands operational security, real-time and power efficient intelligent responses, and low bandwidth usage. This paper introduces a novel idea related to an hardware implementation of High-performance classifiers for real-time and low power sensor data analytic on the intelligent edge gateway running on smart automobile. The high-performance classifiers uses an artificial neural network (ANN) to extract conclusive inferences from the raw automotive sensors information. The multiple classifiers are embedded into a re-configurable ANN hardware deign i.e. intellectual property core (IP core) which implemented and tested using field-programmable gate array fabric. In addition, this work studies the effect of the IP cores on the performance of the edge gateway. The implementation of fog/edge computing enables throughput reduction of 96.78% to 98.75% compared with the traditional gateway. The hardware design of the high-performance classifiers IP core requires only 31μ s and power consumption of 124mW for classification. The concept of re-configurable ANN model reduce about 41% to 93% of hardware resources requirement that contributing to reduced system power and cost.

Original languageEnglish
Title of host publicationProceedings of PCEMS 2022 - 1st International Conference on the Paradigm Shifts in Communication, Embedded Systems, Machine Learning and Signal Processing
Number of pages4
PublisherInstitute of Electrical and Electronics Engineers Inc.
Publication yearJun 2022
Pages74-77
ISBN (Electronic)9781665459044
DOIs
Publication statusPublished - Jun 2022
Event1st International Conference on the Paradigm Shifts in Communication, Embedded Systems, Machine Learning and Signal Processing, PCEMS 2022 - Nagpur, India
Duration: 6 May 20227 May 2022

Conference

Conference1st International Conference on the Paradigm Shifts in Communication, Embedded Systems, Machine Learning and Signal Processing, PCEMS 2022
LandIndia
ByNagpur
Periode06/05/202207/05/2022
SeriesProceedings of PCEMS 2022 - 1st International Conference on the Paradigm Shifts in Communication, Embedded Systems, Machine Learning and Signal Processing

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

    Research areas

  • Artificial neural network, Edge gateway, Field Programmable Gate Array, high-performance classifiers IP core, Re-configurable artificial neural network, Smart automobile

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