Paper Info
Title
Performance Evaluation of an evolving data compression algorithm embedded into an OBD-II edge device
Abstract
The new industrial revolution, known as industry 4.0, aims to create value throughout the product life cycle into all industries sectors. In the automotive industry perspective, data can be obtained throughout the life cycle of vehicles if they are appropriately instrumented with an On-Board Diagnostic scanner (OBD-II). Communications interfaces (3G/4G/LoraWan/Wi-Fi) assume essentials rules in order to relay all collected data to services in the cloud. Challenges emerge when using the Low Power, Wide-Area Network (LPWAN) protocols, as the case of LoRaWAN. This article aims to evaluate the feasibility of embedding a data compression algorithm driven by a light-weight evolving real-time approach in order to reduce the amount of data to be transmitted periodically. The proposal was embedded in a low-cost, low-power system on a chip microcontroller based on Edge OBD-II Freematics ONE+™. Results have shown the feasibility of the proposal and indicated compression rates of up to 98% without impact the primary operation of the edge device.
Year
DOI
Venue
2020
10.1109/MetroInd4.0IoT48571.2020.9138270
2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT
Keywords
DocType
ISBN
Industry 4.0,Connected Vehicles,Edge OBD-II,Data Compress,Evolving real-time algorithm
Conference
978-1-7281-4892-2
Citations 
PageRank 
References 
0
0.34
0
Authors
7
Name
Order
Citations
PageRank
Gabriel Signoretti100.34
Marianne Silva200.34
Jordy Araujo300.68
Luiz Afonso Guedes400.34
Ivanovitch M. D. Silva58713.56
Emiliano Sisinni645756.63
Paolo Ferrari739259.01