The WiSe-CAN Project

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Page Revision: 2008/02/14 15:40


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A Two-Competitive Approximate Schedulability Analysis of CAN

Björn Andersson, Nuno Pereira and Eduardo Tovar
12th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA'07) - To Appear
[pdf]


Consider the problem of deciding whether a set of n sporadic message streams meet deadlines on a Controller Area Network (CAN) bus for a specified priority assignment. It is assumed that message streams have implicit deadlines and no release jitter. An algorithm to solve this problem is well known but unfortunately it time complexity is non-polynomial. We present an algorithm with polynomial time-complexity for computing an upper bound on the response times. Clearly, if the upper bound on the response time does not exceed the deadline then all deadlines are met. The pessimism of our approach is proven: if the upper bound of the response time exceeds the deadline then the response time exceeds the deadline as well for a CAN network with half the speed.



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A Scalable and Efficient Approach to Obtain Measurements in CAN-based Control Systems

Björn Andersson, Nuno Pereira, Wilfried Elmenreich, Eduardo Tovar, Filipe Pacheco and Nuno Cruz
Accepted for publication in IEEE Transactions on Indutrial Informatics (TII)
[pdf]


The availability of small inexpensive sensor elements enables the employment of large wired or wireless sensor networks for feeding control systems. Unfortunately, the need to transmit a large number of sensor measurements over a network negatively affects the timing parameters of the control loop. This paper presents a solution to this problem by representing sensor measurements with an approximate representation - an interpolation of sensor measurements as a function of space coordinates. A priority-based medium access control (MAC) protocol is used to select the sensor messages with high information content. Thus, the information from a large number of sensor measurements is conveyed within a few messages. This approach greatly reduces the time for obtaining a snapshot of the environment state and therefore supports the real-time requirements of feedback control loops.

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