SDN Optical Network Sensor Data Transfer via ONOS Path Utility
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Solution Overview
Problem
Existing distributed optical fiber sensing systems face challenges in efficiently transferring sensor data over software defined network (SDN) controlled optical networks, particularly due to limitations in dynamic scalability and central management, which can result in data loss or congestion during network changes.
Innovation Solution
A computer-implemented method utilizing an Optical Network Operating System (ONOS) to manage sensor data transfer by determining multiple network paths, calculating transmission delay and path utility, and forwarding sensor data chunks if the utility is above a threshold and delay is within limits, ensuring efficient data transfer through multiple paths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If sensor data is transferred over SDN controlled optical networks, then network scalability and flexibility are improved, but data loss and congestion occur during network changes
Solution Approach 1:
The patent segments sensor data into smaller data chunks that can be independently transmitted through multiple parallel paths. This segmentation allows the system to tolerate path failures and reduce congestion by distributing data across multiple routes, thereby preventing data loss while maintaining network scalability.
Solution Approach 2:
The patent introduces a multi-path transmission dimension by simultaneously utilizing multiple network routes for data transfer. Instead of relying on a single path, the system transmits data chunks through multiple paths in parallel, adding a dimensional aspect to data transmission that enhances reliability during network changes while preserving scalability.
2Productivity
If multiple network paths are used for data transfer, then data transfer efficiency is improved, but path determination complexity increases
Solution Approach 1:
The patent implements feedback mechanisms where the system continuously monitors network conditions and adjusts path selection based on real-time information. This feedback loop enables efficient data transfer by dynamically choosing optimal paths while managing complexity through automated adaptive decision-making rather than static complex calculations.
Solution Approach 2:
The patent employs dynamic path determination that adapts to changing network conditions in real-time. Rather than using fixed complex routing algorithms, the system dynamically selects paths based on current network state, reducing computational complexity while maintaining high data transfer efficiency through agile, condition-based routing decisions.
3Reliability
If sensor data chunks are divided into multiple copies, then data transfer reliability is improved, but transmission time increases
Solution Approach 1:
The patent performs preliminary actions by pre-dividing sensor data into chunks and preparing multiple copies before transmission begins. This preliminary preparation enables parallel transmission across multiple paths, ensuring high reliability through redundancy while minimizing actual transmission time by avoiding sequential transfer delays.
Solution Approach 2:
The patent maintains continuous useful action by simultaneously transmitting multiple data chunks through multiple paths without interruption. This parallel continuous transmission ensures reliability through redundancy while preventing time loss, as the system keeps all transmission channels actively utilized rather than waiting for sequential completion.
Data Source
AI summary
Aspects of the present disclosure describe a computer implemented method for the transfer of sensor data on dynamic software defined network (SDN) controlled optical network.