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        3D Markov chain based multi-priority path selection in the heterogeneous Internet of Things

        ( Huan Wu ),( Xiangming Wen ),( Zhaoming Lu ),( Yao Nie ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.11

        Internet of Things (IoT) based sensor networks have gained unprecedented popularity in recent years. With the exponential explosion of the objects (sensors and mobiles), the bandwidth and the speed of data transmission are dwarfed by the anticipated emergence of IoT. In this paper, we propose a novel heterogeneous IoT model integrated the power line communication (PLC) and WiFi network to increase the network capacity and cope with the rapid growth of the objects. We firstly propose the mean transmission delay calculation algorithm based the 3D Markov chain according to the multi-priority of the objects. Then, the attractor selection algorithm, which is based on the adaptive behavior of the biological system, is exploited. The combined the 3D Markov chain and the attractor selection model, named MASM, can select the optimal path adaptively in the heterogeneous IoT according to the environment. Furthermore, we verify that the MASM improves the transmission efficiency and reduce the transmission delay effectively. The simulation results show that the MASM is stable to changes in the environment and more applicable for the heterogeneous IoT, compared with the other algorithms.

      • KCI등재

        Cooperative Optimization of Bus-Subway-Shared Bicycle Based on Uncertainty Theory

        Yunqiang Xue,Tong He,Xiangming Yao,Bing Zhang,Hongzhi Guan,Yang Qiu 대한토목학회 2024 KSCE Journal of Civil Engineering Vol.28 No.4

        This research considered the uncertainty of the operation time of shared bicycle, constructed the urban coupling network, and established the optimization model for the cooperative operation of conventional buses, subways and shared bikes. In the programming model, the optimization objective is to minimize the total travel time of passengers, and by optimizing and adjusting the departure intervals of conventional buses and subways as well as the stopping time of vehicles, the travel efficiency of passengers is improved. The interchange cooperative system composed of Nanchang Metro Line 1 and Bus 520 and the surrounding shared bicycle concentration area was taken as the case study. According to the optimization results, the passenger waiting time, passenger transfer time, and total passenger on-board time are effectively reduced by 21.5%, 23.2%, and 7.37%; ultimately, the total travel time is reduced by 8.2% at a confidence level of 95%. Case analyses show that the conventional bus stopping time has the greatest impact on the total travel time of the passengers as compared to the other variables. The research is of positive practical significance for promoting the efficient and coordinated development of urban transportation networks and facilitating the travel of residents.

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