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Advanced Algorithms for Local Routing Strategy on Complex Networks
Benchuan Lin1, Bokui Chen2,3, Yachun Gao4
1Department of Modern Physics, University of Science and Technology of China, Hefei, China.
New algorithms significantly boost local routing strategies for complex networks. These methods improve information packet generation rates and reduce transmission times, offering a flexible alternative to global strategies.
Area of Science:
- Computer Science
- Network Engineering
- Telecommunications
Background:
- Global routing strategies offer high performance but are limited by scalability issues due to extensive information requirements.
- Local routing strategies are more scalable but suffer from lower transmission efficiency and network capacity.
Purpose of the Study:
- To enhance the performance of local routing strategies for complex networks.
- To overcome the limitations of traditional local routing approaches in terms of efficiency and capacity.
Main Methods:
- Development and application of three novel algorithms: node duplication avoidance, next-nearest-neighbor, and restrictive queue length.
- Thorough investigation of these algorithms applied to typical local routing strategies.
Main Results:
- A tenfold increase in the critical generation rate of information packets (Rc).
- A 70-90 percent decrease in average transmission time (〈T〉).
- Improved local routing strategies demonstrated superior network performance compared to global strategies in specific scenarios.
Conclusions:
- The proposed algorithms represent a revolutionary advancement for communication networks, enhancing local routing strategy efficiency.
- Local routing strategies, when improved, offer significant advantages in computational expense reduction and implementation flexibility, especially for large-scale networks.
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