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

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 influe...

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Main Authors: Yan-Li Zheng, Ting-Ting Song, Jun-Xiong Chai, Xiao-Ping Yang, Meng-Meng Yu, Yun-Chao Zhu, Yong Liu, Yi-Yuan Xie
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Micromachines
Subjects:
Online Access:https://www.mdpi.com/2072-666X/12/1/54
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author Yan-Li Zheng
Ting-Ting Song
Jun-Xiong Chai
Xiao-Ping Yang
Meng-Meng Yu
Yun-Chao Zhu
Yong Liu
Yi-Yuan Xie
author_facet Yan-Li Zheng
Ting-Ting Song
Jun-Xiong Chai
Xiao-Ping Yang
Meng-Meng Yu
Yun-Chao Zhu
Yong Liu
Yi-Yuan Xie
author_sort Yan-Li Zheng
collection DOAJ
description 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.
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spelling doaj.art-69ee28df40e147e39d47afcc7294f6ec2023-11-21T08:40:10ZengMDPI AGMicromachines2072-666X2021-01-011215410.3390/mi12010054Exploring a New Adaptive Routing Based on the Dijkstra Algorithm in Optical Networks-on-ChipYan-Li Zheng0Ting-Ting Song1Jun-Xiong Chai2Xiao-Ping Yang3Meng-Meng Yu4Yun-Chao Zhu5Yong Liu6Yi-Yuan Xie7School of Electronic and Information Engineering, Southwest University, Chongqing 400715, ChinaSchool of Electronic and Information Engineering, Southwest University, Chongqing 400715, ChinaSchool of Electronic and Information Engineering, Southwest University, Chongqing 400715, ChinaSchool of Electronic and Information Engineering, Southwest University, Chongqing 400715, ChinaSchool of Electronic and Information Engineering, Southwest University, Chongqing 400715, ChinaSchool of Electronic and Information Engineering, Southwest University, Chongqing 400715, ChinaSchool of Optoelectronic Information, University of Electronic Science and Technology of China, Chengdu 611731, ChinaSchool of Electronic and Information Engineering, Southwest University, Chongqing 400715, ChinaThe 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.https://www.mdpi.com/2072-666X/12/1/54optical networks-on-chipDijkstra algorithmtransmission lossoptimized power control
spellingShingle Yan-Li Zheng
Ting-Ting Song
Jun-Xiong Chai
Xiao-Ping Yang
Meng-Meng Yu
Yun-Chao Zhu
Yong Liu
Yi-Yuan Xie
Exploring a New Adaptive Routing Based on the Dijkstra Algorithm in Optical Networks-on-Chip
Micromachines
optical networks-on-chip
Dijkstra algorithm
transmission loss
optimized power control
title Exploring a New Adaptive Routing Based on the Dijkstra Algorithm in Optical Networks-on-Chip
title_full Exploring a New Adaptive Routing Based on the Dijkstra Algorithm in Optical Networks-on-Chip
title_fullStr Exploring a New Adaptive Routing Based on the Dijkstra Algorithm in Optical Networks-on-Chip
title_full_unstemmed Exploring a New Adaptive Routing Based on the Dijkstra Algorithm in Optical Networks-on-Chip
title_short Exploring a New Adaptive Routing Based on the Dijkstra Algorithm in Optical Networks-on-Chip
title_sort exploring a new adaptive routing based on the dijkstra algorithm in optical networks on chip
topic optical networks-on-chip
Dijkstra algorithm
transmission loss
optimized power control
url https://www.mdpi.com/2072-666X/12/1/54
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