Exploring a New Adaptive Routing Based on the Dijkstra Algorithm in Optical Networks-on-Chip

Zheng, Yan-Li and Song, Ting-Ting and Chai, Jun-Xiong and Yang, Xiao-Ping and Yu, Meng-Meng and Zhu, Yun-Chao and Liu, Yong and Xie, Yi-Yuan (2021) Exploring a New Adaptive Routing Based on the Dijkstra Algorithm in Optical Networks-on-Chip. Micromachines, 12 (1). p. 54. ISSN 2072-666X

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Abstract

The photoelectric hybrid network has been proposed to achieve the ultrahigh bandwidth, lower delay, and less power consumption for chip multiprocessor (CMP) systems. However, a large number of optical elements used in optical networks-on-chip (ONoCs) generate high transmission loss which will influence network performance severely and increase power consumption. In this paper, the Dijkstra algorithm is adopted to realize adaptive routing with minimum transmission loss of link and reduce the output power of the link transmitter in mesh-based ONoCs. The numerical simulation results demonstrate that the transmission loss of a link in optimized power control based on the Dijkstra algorithm could be maximally reduced compared with traditional power control based on the dimensional routing algorithm. Additionally, it has a greater advantage in saving the average output power of optical transmitter compared to the adaptive power control in previous studies, while the network size expands. With the aid of simulation software OPNET, the network performance simulations in an optimized network revealed that the end-to-end (ETE) latency and throughput are not vastly reduced in regard to a traditional network. Hence, the optimized power control proposed in this paper can greatly reduce the power consumption of s network without having a big impact on network performance.

Item Type: Article
Uncontrolled Keywords: optical networks-on-chip; Dijkstra algorithm; transmission loss; optimized power control
Subjects: STM Repository > Engineering
Depositing User: Managing Editor
Date Deposited: 25 May 2024 07:50
Last Modified: 25 May 2024 07:50
URI: http://classical.goforpromo.com/id/eprint/672

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