Design and Evaluation of Controller Area Network for Automotive Applications
Abu Asaduzzaman,
Sandip Bhowmick,
Md Moniruzzaman
Issue:
Volume 2, Issue 4, July 2014
Pages:
29-37
Received:
14 June 2014
Accepted:
15 August 2014
Published:
20 August 2014
Abstract: Now-a-days, as computerization of automotive increases, the need for more/advanced electronic control units (ECUs) is growing. Vehicles are increasingly behaving like computers with wheels. Due to the abundance use of ECUs in cars, electronic system design is becoming complicated day by day. As a consequence, information processing in such complex systems faces interruptions. Therefore, there is a need for a system which will be the connective tissue between a vehicle's computers and different sensors. Controller Area Network (CAN) is such an embedded system to bring communication and connectivity in automobile system together. Optimization of CAN bus is a concerning issue because of the recent demands such as hybrid, electric propulsion, or driver assistance that involves more stringent real-time constraints. In this paper, we introduce an optimized CAN bus for vehicle automation through microcontroller based design and implementation. Multiple modules of a vehicle are modeled using CAN bus. The proposed CAN bus system is evaluated by analyzing the frame response time using “RTaW-Sim:” a CAN simulation and configuration tool. Experimental results show that the proposed CAN system helps decrease the frame response time by up to 45% when compared with a traditional system. The CAN bus simulation platform using RTaW-Sim also helps reduce the design cost and improve the systems quality.
Abstract: Now-a-days, as computerization of automotive increases, the need for more/advanced electronic control units (ECUs) is growing. Vehicles are increasingly behaving like computers with wheels. Due to the abundance use of ECUs in cars, electronic system design is becoming complicated day by day. As a consequence, information processing in such complex ...
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Implementing Adaptive Time-Triggered Co-Operative Scheduling Framework for Highly-Predictable Embedded Systems
Mouaaz Nahas,
Ricardo Bautista-Quintero
Issue:
Volume 2, Issue 4, July 2014
Pages:
38-50
Received:
6 September 2014
Accepted:
15 September 2014
Published:
30 September 2014
Abstract: For many real-time embedded systems, Time-Triggered Co-operative (TTC) scheduling algorithms provide simple and reliable solution at low cost. Previous work in this area has focused on the development of a wide range of TTC implementations for various purposes (e.g. for achieving low-jitter characteristics, reducing CPU power consumption or dealing with task-overruns). Despite the great deal of work in this area, it can be said that each previous scheduler implementation was created to address only one particular problem in TTC algorithm. For applications which require extremely high degree of reliability, a combinational TTC architecture – that incorporates multiple features – can be an appropriate solution. This paper describes the implementation of an adaptive, highly-predictable TTC scheduler that addresses both jitter and task-overrun problems simultaneously. Furthermore, the presented scheduler incorporates an online technique for measuring the practical “worst-case execution time” for each task during system runtime. The behavior of the proposed scheduler is compared with a set of previously developed schedulers in terms of timing jitter, task-overrun handling capability and resource requirements for practical real-time implementations.
Abstract: For many real-time embedded systems, Time-Triggered Co-operative (TTC) scheduling algorithms provide simple and reliable solution at low cost. Previous work in this area has focused on the development of a wide range of TTC implementations for various purposes (e.g. for achieving low-jitter characteristics, reducing CPU power consumption or dealing...
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