Optical Network Routing Optimization via Device Status Monitoring
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing optical network protection schemes do not consider the performance and status of individual devices in the network, leading to inefficient routing and increased power consumption due to the use of aged devices.
Innovation Solution
A method and apparatus that monitor and compare operating parameters of optical devices with threshold values to determine their status, using this information to optimize routing paths and reconfigure the network, thereby avoiding inefficient devices and reducing power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If protection switching schemes are implemented without considering device performance and status, then network protection is provided, but routing efficiency deteriorates and power consumption increases
Solution Approach 1:
The patent implements feedback by continuously monitoring operating parameters of optical devices and using this information to dynamically adjust routing decisions. The system collects performance data from devices, compares it against thresholds, and feeds this information back into the path computation process to optimize routing based on actual device status.
Solution Approach 2:
The patent applies preliminary action by proactively identifying aged or underperforming devices through monitoring and threshold comparison before they cause network failures. The system pre-computes alternative paths avoiding these devices, so when protection switching is needed, optimized routes are already prepared, improving both reliability and routing efficiency.
2Reliability
If protection switching schemes are implemented without considering device performance and status, then network protection is provided, but power consumption increases due to use of aged devices
Solution Approach 1:
The system monitors power consumption and performance parameters of optical devices, feeding this information back to the path computation engine. This enables dynamic routing decisions that avoid aged devices with high power consumption, optimizing energy usage while maintaining network protection capabilities.
Solution Approach 2:
The patent proactively identifies devices with elevated power consumption through continuous monitoring and threshold comparison. By pre-computing alternative paths that avoid these high-consumption devices, the system reduces overall network power consumption while maintaining protection switching capability.
3Productivity
If device operating parameters are monitored and used for routing optimization, then routing efficiency and power consumption are improved, but system complexity increases
Solution Approach 1:
The patent makes the path computation engine multi-functional by enabling it to perform both traditional path computation and performance-based route optimization. The same engine uses device monitoring data to dynamically adjust routing decisions, consolidating multiple functions into a single system component and managing complexity effectively.
Solution Approach 2:
The system introduces an intermediary layer between device monitoring and path computation. The path computation engine acts as a mediator that receives operating parameters from monitored devices and translates them into optimized routing decisions, managing the complexity of integrating monitoring data into routing without requiring direct complex interactions between all system components.
4Use of energy by stationary object
If device operating parameters are monitored and used for routing optimization, then power consumption is reduced by avoiding aged devices, but measurement and detection difficulty increases
Solution Approach 1:
The system establishes feedback loops that continuously collect operating parameters from optical devices, compare them against predefined thresholds, and use the results to dynamically adjust routing decisions. This automated feedback mechanism manages the complexity of monitoring multiple parameters across numerous devices.
Solution Approach 2:
The path computation engine is enhanced to perform multiple functions: traditional path computation, performance-based route optimization, and threshold-based device status evaluation. This multi-functionality consolidates the complexity of parameter monitoring and analysis into a single capable component rather than requiring separate systems for each function.
Data Source
AI summary
There is provided a method for optimizing the configuration of an optical network which is adapted to transport optical traffic along a path from a source node to a destination node, wherein the path can be routed via any one or more of a plurality of intermediate nodes in the optical network. The method comprises the steps of receiving an operating parameter of an optical device monitored in a plurality of nodes. The received operating parameter is compared with a threshold value. An operating status of a node is determined based on the comparison of the received operating parameter with the threshold value. The determined operating status of a node is used as a routing criteria for computing a path for routing traffic through the optical network.