NDN Satellite Code Caching for Dependency-Free Content Retrieval
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Solution Overview
Problem
Conventional Named Data Networking (NDN) caching in satellite networks results in transmission dependency issues, requiring users to acquire data blocks sequentially to recover source data, which is inefficient and increases satellite downlink consumption.
Innovation Solution
A satellite network code caching method based on NDN that employs encoding operations, clusters satellites by geographical location, and uses a multi-population ant colony algorithm to optimize encoding packet placement, minimizing backhaul link load and content acquisition time delay.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional NDN caching is used to cache content files in satellite networks, then content distribution capability is improved, but transmission dependency increases requiring users to acquire data blocks sequentially
Solution Approach 1:
The patent segments content files into multiple independent encoding packets using erasure coding technology. Instead of caching complete sequential data blocks, the system divides content into K data packets and generates N-K redundant encoding packets, allowing users to reconstruct original content by acquiring any K packets from N total packets. This segmentation eliminates the sequential acquisition requirement while maintaining content distribution capability.
Solution Approach 2:
The patent changes the fundamental parameter of data block structure from sequential dependency to independent encoding packets. By transforming the caching unit from complete sequential blocks to independently decodable encoding packets, the system allows parallel acquisition of multiple packets simultaneously, reducing the time loss associated with sequential data block acquisition while preserving content distribution functionality.
2Productivity
If content files are classified and cached in conventional NDN manner, then content retrieval efficiency is improved, but network management complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-calculating and pre-determining the optimal placement of encoding packets across satellite nodes before actual content distribution. The system uses historical access patterns and predictive algorithms to anticipate future content requests, thereby pre-positioning encoding packets on appropriate satellite nodes. This preliminary action simplifies real-time network management while maintaining high content retrieval efficiency, as the complex optimization decisions are made in advance rather than during active content delivery.
3Loss of energy
If encoding packets are distributed across multiple satellite nodes, then backhaul link load is reduced, but optimization difficulty increases
Solution Approach 1:
The patent implements a feedback mechanism where satellite nodes continuously monitor and report their encoding packet storage status, content access patterns, and backhaul link utilization to a central optimization controller. The controller uses this real-time feedback information to dynamically adjust encoding packet placement decisions, balancing the load across the network and minimizing backhaul link usage. This feedback loop transforms the complex optimization problem into a manageable iterative process, reducing backhaul load while maintaining tractable optimization through continuous adaptation rather than static complex planning.
Data Source
AI summary
The present invention discloses a satellite network code caching method based on Named Data Networking (NDN) and relates to the technical field of satellite network caching. Aiming at the transmission dependency generated by segmenting a content by conventional NDN caching, i.e., the problem that a user has to acquire a data block that requests a file block to be associated up and down to recover source data. The method removes the transmission dependency of data by adopting an encoding operation. To achieve efficient content distribution, the method places satellite node encoding packets by taking a minimized backhaul link load and a minimized content acquisition time delay as optimization objectives. An optimization problem is solved through a multi-population ant colony algorithm, and meanwhile, the content is retrieved rapidly.