DocumentCode
2644278
Title
Control area network based quotient remainder compression-algorithm for automotive applications
Author
Kelkar, Supriya ; Rajkamal
Author_Institution
Cummins Coll. of Eng. for Women, Pune, India
fYear
2012
fDate
25-28 Oct. 2012
Firstpage
3030
Lastpage
3036
Abstract
The present day automotives have variety of attractive features. Incorporating these features is possible with more electronics or embedded systems inside the vehicle. Controller Area Network (CAN) protocol offers low cost solution for communication between these embedded systems. These embedded systems communicate on CAN bus via message passing. With limited speed and bandwidth offered by CAN, there are limitations in communication. One of the solutions to overcome these limitations is the use of Data-Reduction (DR) algorithms or techniques. These algorithms make it possible to send fewer amount of data in the given time, thus reducing the bandwidth per message. This paper develops an alternative approach to data reduction technique called Quotient Remainder Compression (QRC) algorithm. It provides double or at least equal range to the variation in the parameter as compared to the Enhanced Data Reduction (EDR) algorithm. The compression ratio of QRC is comparable to the earlier algorithms.
Keywords
automotive engineering; controller area networks; data compression; data reduction; embedded systems; mechanical engineering computing; message passing; wiring; CAN bus; CAN protocol; DR algorithms; QRC algorithm; automotive applications; automotive wiring; control area network based quotient remainder compression; data reduction technique; data-reduction algorithms; embedded systems; message passing; Automotive engineering; Iron; Microcontrollers; Radio frequency; Receivers; Automotive Applications; Compression Algorithms; Controller Area Network Protocol (CAN); Data Reduction;
fLanguage
English
Publisher
ieee
Conference_Titel
IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
Conference_Location
Montreal, QC
ISSN
1553-572X
Print_ISBN
978-1-4673-2419-9
Electronic_ISBN
1553-572X
Type
conf
DOI
10.1109/IECON.2012.6389414
Filename
6389414
Link To Document