Abstract
To obtain the best food source, bees communicate their forage information by waggle dance, which indicates direction, distance, and quality of the food source they found. In this paper we propose a multi-function routing algorithm (BMFR) inspired by bees’ foraging behaviors for network-on-chip (NoC). We utilize a bee agent model to exchange the states among nodes. According to these states we establish a probability model to choose the output direction. We analyze the performance of BMFR on uniform traffic pattern. Finally, we compare BMFR with XY routing algorithm on uniform and tornado traffic patterns.
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References
Caro, G.D., Dorigo, M.: AntNet: Distributed stigmergetic control for communication networks. J. Artificial Intelligence Research 9, 317–365 (1998)
Wedde, H.F., Farooq, M., Zhang, Y.: BeeHive: An Efficient Fault-Tolerant Routing Algorithm Inspired by Honey Bee Behavior. In: Dorigo, M., Birattari, M., Blum, C., Gambardella, L.M., Mondada, F., Stützle, T. (eds.) ANTS 2004. LNCS, vol. 3172, pp. 83–94. Springer, Heidelberg (2004)
Saleem, M., Farooq, M.: BeeSensor: A Bee-Inspired Power Aware Routing Protocol for Wireless Sensor Networks. In: Giacobini, M. (ed.) EvoWorkshops 2007. LNCS, vol. 4448, pp. 81–90. Springer, Heidelberg (2007)
Peibo, X., Huaxi, G.: Intelligent bees for QoS routing in Networks-on-Chip. In: 2nd Pacific-Asia Conference on Circuits, Communications and System (PACCS), pp. 311–314. IEEE Press, Beijing (2010)
Al Maghayreh, E., Al-Haija, S.A., et al.: Bees_Ants Based Routing Algorithm. In: International Conference on Intelligent Systems, Modelling and Simulation (ISMS), pp. 344–349. IEEE Press, Liverpool (2010)
Arjun, S., Dally, W.J., et al.: GOAL: a load-balanced adaptive routing algorithm for torus networks. In: 30th Annual International Symposium on Computer Architecture, pp. 194–205 (2003)
Fukushima, Y., Fukushi, M., et al.: Fault-Tolerant Routing Algorithm for Network on Chip without Virtual Channels. In: 24th IEEE International Symposium on Defect and Fault Tolerance in VLSI Systems, pp. 313–321. IEEE Press, Chicago (2009)
Kun, W., Changshan, W., et al.: Quality of service routing algorithm in the torus-based network on chip. In: 8th IEEE International Conference on ASIC, pp. 952–954. IEEE Press, Changsha (2009)
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Wang, J., Gu, H., Yang, Y., Deng, Z. (2011). An Efficient Bee Behavior-Based Multi-function Routing Algorithm for Network-on-Chip. In: Tan, Y., Shi, Y., Chai, Y., Wang, G. (eds) Advances in Swarm Intelligence. ICSI 2011. Lecture Notes in Computer Science, vol 6728. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21515-5_33
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DOI: https://doi.org/10.1007/978-3-642-21515-5_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21514-8
Online ISBN: 978-3-642-21515-5
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