Precisely Control Routing Convergence by Adjusting Parameters Based on Network State

2015 ◽  
Author(s):  
Jing Jin
Keyword(s):  
Network State ◽  
Routing Convergence

scholarly journals Towards secure and network state aware bitrate adaptation at IoT edge

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Zeng Zeng ◽  
Hang Che ◽  
Weiwei Miao ◽  
Jin Huang ◽  
Hao Tang ◽  
...  
Keyword(s):  
Network State

scholarly journals Exact mapping between a laser network loss rate and the classical XY Hamiltonian by laser loss control

Nanophotonics ◽  
2020 ◽  
Vol 9 (13) ◽  
pp. 4117-4126 ◽  
Author(s):  
Igor Gershenzon ◽  
Geva Arwas ◽  
Sagie Gadasi ◽  
Chene Tradonsky ◽  
Asher Friesem ◽  
...  
Keyword(s):  
Degrees Of Freedom ◽  
Loss Rate ◽  
Oscillation Amplitude ◽  
Xy Model ◽  
Spin Hamiltonian ◽  
Laser Oscillator ◽  
Physical Systems ◽  
Network State ◽  
Spin Hamiltonians ◽  
Loss Control

AbstractRecently, there has been growing interest in the utilization of physical systems as heuristic optimizers for classical spin Hamiltonians. A prominent approach employs gain-dissipative optical oscillator networks for this purpose. Unfortunately, these systems inherently suffer from an inexact mapping between the oscillator network loss rate and the spin Hamiltonian due to additional degrees of freedom present in the system such as oscillation amplitude. In this work, we theoretically analyze and experimentally demonstrate a scheme for the alleviation of this difficulty. The scheme involves control over the laser oscillator amplitude through modification of individual laser oscillator loss. We demonstrate this approach in a laser network classical XY model simulator based on a digital degenerate cavity laser. We prove that for each XY model energy minimum there corresponds a unique set of laser loss values that leads to a network state with identical oscillation amplitudes and to phase values that coincide with the XY model minimum. We experimentally demonstrate an eight fold improvement in the deviation from the minimal XY energy by employing our proposed solution scheme.

scholarly journals Connectivity and network state-dependent recruitment of long-range VIP-GABAergic neurons in the mouse hippocampus

2018 ◽  
Vol 9 (1) ◽  
Author(s):  
Ruggiero Francavilla ◽  
Vincent Villette ◽  
Xiao Luo ◽  
Simon Chamberland ◽  
Einer Muñoz-Pino ◽  
...  
Keyword(s):  
Long Range ◽  
Gabaergic Neurons ◽  
Network State ◽  
State Dependent ◽  
Mouse Hippocampus

scholarly journals A distributed power management design based on MOST networks

2011 ◽  
Vol 8 (4) ◽  
pp. 1097-1115
Author(s):  
Yushan Jin ◽  
Ruikai Liu ◽  
Xingran He ◽  
Yongping Huang
Keyword(s):  
Power Management ◽  
High Speed ◽  
Transport Protocol ◽  
Master Node ◽  
Sleep State ◽  
Distributed Power ◽  
Modeling And Analysis ◽  
Network State ◽  
Intelligent Management ◽  
Audio Video

MOST (Media Oriented Systems Transport) protocol is a high-speed multimedia bus protocol. The system can make more and more media devices in the car automatically collaborate, sharing of audio, video and other data, but its own power consumption has not been a better optimization. In the paper, depending on the network management and the notification mechanism, a distributed power management solutions was designed that the slave nodes can sleep independently and the master node manages the network state, and the wake-up mechanisms in the sleep state were proposed. A mathematical modeling and analysis of MOST networks power were built in MATLAB. This program takes full advantage of MOST network protocol for the intelligent management. Simulation results shown that, with the increasing number of nodes in MOST, energy saving become more effective. More than 20% power saved can be achieved with distributed power management solution in 8-node MOST.

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