Application of an improved Physarum polycephalum algorithm on QoS routing problem
by Zhang Yi; Yang Zhengquan
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 21, No. 4, 2021

Abstract: With the development of Internet technology, network information dissemination has higher requirements for Quality of Services (QoS). Traditional computing methods can no longer meet the requirements of real network, and ordinary swarm intelligence algorithm needs many training sets to find the optimal parameter combination. In this paper, we propose a novel Physarum polycephalum Model of QoS (PPMQ). We change destination nodes in PPMQ set. The corresponding flow matrix and the source nodes' flow are improved. The improved algorithm does not need to adjust parameters compared with other swarm intelligence algorithms. The simulation results show that PPMQ is feasible to calculate the Quality of Services Routing Problem (QOSRP) without finding the optimal parameter combination.

Online publication date: Mon, 21-Mar-2022

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