Power control for OSNR optimization in optical networks: A noncooperative game approach

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

Micromachines ◽

10.3390/mi12010054 ◽

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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A Stackelberg-Game-Based Power Control Algorithm for Wireless Mesh Networks

Abstract and Applied Analysis ◽

10.1155/2013/832309 ◽

2013 ◽

Vol 2013 ◽

pp. 1-10 ◽

Cited By ~ 1

Author(s):

Yanbing Liu ◽

Tao Wu ◽

Jun Huang ◽

Shousheng Jia

Keyword(s):

Power Control ◽

Wireless Mesh Networks ◽

Control Algorithm ◽

Large Scale ◽

Mesh Networks ◽

Stackelberg Game ◽

Noncooperative Game ◽

Destination Node ◽

Wireless Mesh ◽

Power Control Algorithm

Wireless mesh networks (WMNs) are a promising networking paradigm for next generation wireless networking system. Power control plays a vital role in WMNs and is realized to be a crucial step toward large-scale WMNs deployment. In this paper, we address the problem of how to allocate the power for both optimizing quality of service (QoS) and saving the power consumption in WMNs based on the game theory. We first formulate the problem as a noncooperative game, in which the QoS attributes and the power of each node are defined as a utility function, and all the nodes attempt to maximize their own utility. In such game, we correlate all the interfering nodes to be an interfering object and the receiving node to be the interfering object's virtual destination node. We then present an equilibrium solution for the noncooperative game using Stackelberg model, and we propose an iterative, distributed power control algorithm for WMNs. Also, we conduct numeric experiments to evaluate the system performance, our results show that the proposed algorithm can balance nodes to share the limited network resources and maximize total utility, and thus it is efficient and effective for solving the power control problem in WMNs.

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