Adaptive search algorithm for SRIO network routing based on chaotic ant colony algorithm

Yi Yang; Qian Zhang; Gang Li

doi:10.1117/12.2622868

1 December 2021 Adaptive search algorithm for SRIO network routing based on chaotic ant colony algorithm

Yi Yang, Qian Zhang, Gang Li

Proceedings Volume 12079, Second IYSF Academic Symposium on Artificial Intelligence and Computer Engineering; 120790F (2021) https://doi.org/10.1117/12.2622868
Event: 2nd IYSF Academic Symposium on Artificial Intelligence and Computer Engineering, 2021, Xi'an, China

Abstract

In order to optimize the delay of data transmission and the routing efficiency of routing search algorithm, an adaptive routing search algorithm for SRIO network based on chaotic ant colony algorithm is proposed. This paper analyzes the principle of SRIO network transfer transaction, and selects routing information by exchanging properties of SRIO network packets. Using chaotic ant colony algorithm, the LEACH protocol of SRIO network is established to search the best relay node adaptively, and the SRIO network routing adaptive search algorithm is designed. Experimental results show that the proposed algorithm can effectively reduce the delay of data transmission and optimize the routing efficiency.

Citation Download Citation

Yi Yang, Qian Zhang, and Gang Li "Adaptive search algorithm for SRIO network routing based on chaotic ant colony algorithm", Proc. SPIE 12079, Second IYSF Academic Symposium on Artificial Intelligence and Computer Engineering, 120790F (1 December 2021); https://doi.org/10.1117/12.2622868

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