With the advancement in electronics technology,
number of pins under the ball grid array (BGA) are increasing on
reduced size components. In small size components, a challenging
task is to solve the escape routing problem where BGA pins
escape towards the component boundary. It is often desirable to
perform ordered simultaneous escape routing (SER) to facilitate
area routing and produce elegant Printed Circuit Board (PCB)
design. Some heuristic techniques help in finding the PCB
routing solution for SER but for larger problems these are
time consuming and produce sub-optimal results. This work
propose solution which divides the problem into two parts.
First, a novel net ordering algorithm for SER using network
theoretic approach and then linear optimization model for single
component ordered escape routing has been proposed. The model
routes maximum possible nets between two components of the
PCB by considering the design rules based on the given net
ordering. Comparative analysis shows that the proposed net
ordering algorithm and optimization model performs better than
the existing routing algorithms for SER in terms of number of
nets routed. Also the running time using proposed algorithm
reduces to O(2NE=2) + O(2NE=2) for ordered escape routing of
both components. This time is much lesser than O(2NE) due to
exponential reduction.
Sattar, K., Ignjatovic, A., Naveed, A., & Zeeshan, M. (2017). Mobility based Net Ordering for Simultaneous Escape Routing. International Journal of Advanced Computer Science and Applications, 8(7). https://doi.org/10.14569/IJACSA.2017.080762
Sattar, Kashif, et al.. "Mobility based Net Ordering for Simultaneous Escape Routing." International Journal of Advanced Computer Science and Applications, vol. 8, no. 7, 2017, https://doi.org/10.14569/IJACSA.2017.080762.
@article{Sattar2017,
title = {Mobility based Net Ordering for Simultaneous Escape Routing},
journal = {International Journal of Advanced Computer Science and Applications},
volume = {8},
number = {7},
year = {2017},
publisher = {The Science and Information Organization},
author = {Kashif Sattar and Aleksandar Ignjatovic and Anjum Naveed and Muhammad Zeeshan},
doi = {10.14569/IJACSA.2017.080762},
url = {https://doi.org/10.14569/IJACSA.2017.080762}
}
Open Access — licensed under a
Creative Commons Attribution 4.0 International License.
Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.