Author
Listed:
- Xuan He
(Key Laboratory of Universal Wireless Communications, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China†China Unicom Broadband Online Limited Corporation, Beijing 100031, China)
- Kai Niu
(Key Laboratory of Universal Wireless Communications, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China)
- Zhiqiang He
(Key Laboratory of Universal Wireless Communications, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China)
- Jiaru Lin
(Key Laboratory of Universal Wireless Communications, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China)
- Hui Zhang
(Department of Information Engineering, Yulin University, Yulin, Shaanxi 719000, China)
- Zhong-Yuan Jiang
(School of Cyber Engineering, Xidian University, Xi’an, Shaanxi 710071, China)
Abstract
Routing strategy is essential for high transport efficiency on realistic networked complex systems. Beginning from the consideration of finite and diversiform node delivery capacity distributions, a general node capacity allocation mechanism with a tunable parameter α is presented. A node capacity, based routing strategy is proposed to improve the network traffic capacity. Compared with the traditional shortest path routing (SPR) and the efficient routing (ER) methods, it suggests that routing strategy should be chosen heuristically according to the limited capacity resource distribution, instead of using one certain method for all cases. With proper range of parameter α, the new routing strategy achieves the highest traffic capacity and other preferable measure metrics including network diameter, average path length, efficient betweenness, average packet travel time and average traffic load. The theoretical analysis for traffic capacity has a good correspondence to the simulation results. This work studies routing mechanisms from a very practical perspective, and helps network researchers to understand the traffic dynamics on complex networks comprehensively.
Suggested Citation
Xuan He & Kai Niu & Zhiqiang He & Jiaru Lin & Hui Zhang & Zhong-Yuan Jiang, 2016.
"Efficient packet navigation method on scale-free networks with finite and diversiform node delivery capacity,"
International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 27(09), pages 1-11, September.
Handle:
RePEc:wsi:ijmpcx:v:27:y:2016:i:09:n:s0129183116500984
DOI: 10.1142/S0129183116500984
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