Traffic dynamics based on dynamic local routing protocol in a finite buffer network

Qing Wu, Xing-Li Jing and Li-Jun Zhang
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Qing Wu: School of Rail Transportation, Soochow University, Suzhou 215006, P. R. China
Xing-Li Jing: Jiyuan Vocational and Technical College, Jiyuan 459000, P. R. China
Li-Jun Zhang: School of Rail Transportation, Soochow University, Suzhou 215006, P. R. China

International Journal of Modern Physics C (IJMPC), 2022, vol. 33, issue 10, 1-12

Abstract: This paper proposed a novel routing strategy with two tunable parameters, α1, β, based on the dynamic local information in a finite buffer network. The system behaves differently from that with a local routing strategy based on the degree with an adjustable parameter α2. Simulations show that, under dynamic local strategy, the maximal capacity of the network system increases with β whereas it increases with the decrement of α1 in the case of all the nodes having identical delivering ability. The dynamic local routing performs much better than the local routing, which is demonstrated by a larger value of the critical packet generation rate. We found that buffer coefficient has a limited impact on the performance of network system. We also demonstrate that a smaller α1 would be better if we want to have an excellent traffic capacity considering the travel time, average path length and waiting time. Our study will be helpful to improve traffic performance in finite buffer networks.

Keywords: Complex networks; traffic dynamics; finite buffer networks; routing strategies (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1142/S0129183122501339

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