Signal Framing Methods of Automotive Embedded Networked Control System for Bandwidth Consumption Optimization
نویسندگان
چکیده
Parameter (or variable) of automotive embedded networked control system is named as signal. In order to improve system performance and provide more remaining bandwidth for system extension, it is necessary to minimize the bandwidth consumption of frames transmitting the datum of signals. In this paper, the signal framing problem and methods of automotive embedded networked control system for bandwidth consumption optimization are studied. Besides OSpF (One Signal per Frame), other different signal framing methods, BFD-FNO (Best Fit Decreasing for Frame Number Optimization), BFBCD-BCO (Best Fit with Bandwidth Consumption Decreasing for Bandwidth Consumption Optimization) and BFPI-BCO (Best Fit with Period Increasing for Bandwidth Consumption Optimization), are presented based on bin-packing heuristic algorithm. Applying NETCARBENCH and algorithm implementation tool, the signal framing heuristic algorithm performance of automotive embedded networked control system for bandwidth consumption optimization is analyzed and evaluated. By comparing the performances of different heuristic algorithms, it is concluded that no matter the ECU number and signal load, BFD-FNO heuristic algorithm retains the signal framing efficiency for bandwidth consumption optimization.
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ورودعنوان ژورنال:
- JDCTA
دوره 4 شماره
صفحات -
تاریخ انتشار 2010