The Need for Adaptive Routing in the Chaotic and Unbalanced Traffic Environment

1981 ◽  
Vol 29 (4) ◽  
pp. 481-490 ◽  
Author(s):  
Wushow Chou ◽  
A. Bragg ◽  
A. Nilsson
Keyword(s):  
Adaptive Routing ◽  
Traffic Environment

An adaptive routing algorithm for integrated information networks

2019 ◽  
Vol 16 (7) ◽  
pp. 195-206 ◽  
Author(s):  
Feng Wang ◽  
Dingde Jiang ◽  
Sheng Qi
Keyword(s):  
Routing Algorithm ◽  
Adaptive Routing ◽  
Information Networks ◽  
Integrated Information

Fault-Tolerant Dynamic Adaptive Routing in NoC

2015 ◽  
Vol 2 (4) ◽  
pp. 12-17
Author(s):  
Anandeswari. S.A ◽  
◽  
Amsa Sangara Nayagi. P ◽  
Keyword(s):  
Fault Tolerant ◽  
Adaptive Routing

Energy Efficient and Reliable Adaptive Routing Protocol in WBANs

2014 ◽  
Vol 35 (6) ◽  
pp. 1520-1524
Author(s):  
Xian-ling Lu ◽  
Neng-ming Peng ◽  
Bao-guo Xu
Keyword(s):  
Routing Protocol ◽  
Energy Efficient ◽  
Adaptive Routing

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

Micromachines ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 54
Author(s):  
Yan-Li Zheng ◽  
Ting-Ting Song ◽  
Jun-Xiong Chai ◽  
Xiao-Ping Yang ◽  
Meng-Meng Yu ◽  
...  
Keyword(s):  
Power Consumption ◽  
Power Control ◽  
Optical Networks ◽  
Output Power ◽  
Network Performance ◽  
Transmission Loss ◽  
Adaptive Routing ◽  
Dijkstra Algorithm ◽  
Networks On Chip ◽  
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 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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