To avoid uneven energy consuming in wireless sen- sor networks, a clustering routing model is proposed based on a Bayesian game. In the model, Harsanyi transformation is introduced to convert a static game of incomple...To avoid uneven energy consuming in wireless sen- sor networks, a clustering routing model is proposed based on a Bayesian game. In the model, Harsanyi transformation is introduced to convert a static game of incomplete information to the static game of complete but imperfect information. In addition, the existence of Bayesian nash equilibrium is proved. A clustering routing algorithm is also designed according to the proposed model, both cluster head distribution and residual energy are considered in the design of the algorithm. Simulation results show that the algorithm can balance network load, save energy and prolong network lifetime effectively.展开更多
The research of cluster supply chains is a new direction and a hotspot of the industrial cluster theory. On the condition of the coordination game, the enterprises may be stuck on the non-efficient equilibrium status,...The research of cluster supply chains is a new direction and a hotspot of the industrial cluster theory. On the condition of the coordination game, the enterprises may be stuck on the non-efficient equilibrium status, which becomes an important problem that must be considered on cluster supply chains. A symmetrical coordination game model is constituted to describe the competition and cooperation relationship of the same-quality manufacturers on cluster supply chains. The methods of the non-cooperation game theory and the evolutionary game theory are respectively used to analyze the model, whose parameters＇ influences under each method are then compared. It can be concluded that the analysis of the evolutionary game theory is more realistic and practical. Finally, three approaches are considered to break away from being path-dependence locked-in non-efficient status during this coordination game evolutionary process, which provide the development of cluster supply chains with an effective forecasting and Pareto optimizing method.展开更多
Network functions virtualization(NFV) increases network flexibility and scalability by virtualizing network functions running on the general servers and opens the network innovations by outsourcing VNF instances in 5G...Network functions virtualization(NFV) increases network flexibility and scalability by virtualizing network functions running on the general servers and opens the network innovations by outsourcing VNF instances in 5G networks.However,it leads to the incompatibility issue among different VNF instances,which makes operators difficult to determine which VNF instances to select for Service Function Chains(SFCs).In this paper,we divide VNF instances with high compatibility into clusters used for combining VNF instances in 5G networks.Firstly,we define compatibility among different VNF instances.Secondly,aiming to maximize compatibility of each cluster,we propose a novel hypergraph clustering model that divides the VNF instances into multiple clusters.Then,the hypergraph clustering model is transformed to an evolutionary game.Thus,the cluster establishing is transformed to the game equilibrium searching.Furthermore,we propose a discrete time high order replicator dynamic algorithm to find the game equilibrium.Finally,the simulation results show that the proposed approach can improve the quality of SFCs.展开更多
This paper proposes a multi-objective optimization design method based on the coalition cooperative game theory where the three design goals have been seen as three game players. By calculating the affecting factors a...This paper proposes a multi-objective optimization design method based on the coalition cooperative game theory where the three design goals have been seen as three game players. By calculating the affecting factors and fuzzy clustering, the design variables are divided into different strategic spaces which belong to each player, then it constructs a payoff function based on the coalition mechanism. Each game player takes its own revenue function as a target and obtains the best strategy versus other players. The best strategies of all players consist of the strategy permutation of a round game and it obtains the final game solutions through multi-round games according to the convergence criterion. A multi-objective optimization example of the luff mechanism of compensative sheave block shows the effectiveness of the coalition cooperative game method.展开更多
针对园区综合能源系统中存在多利益主体且收益分配不均的实际情况,提出一种基于混合博弈的双层能量管理模型。首先,建立园区综合能源系统的运行框架,分析上层微网运营商与下层用户聚合商的利益关系。其次,为使园区各主体利益最大化,构...针对园区综合能源系统中存在多利益主体且收益分配不均的实际情况,提出一种基于混合博弈的双层能量管理模型。首先,建立园区综合能源系统的运行框架,分析上层微网运营商与下层用户聚合商的利益关系。其次,为使园区各主体利益最大化,构建了多用户与微网运营商多方参与的混合博弈模型。其中,运营商通过主从博弈制定向用户的售能价格,用户聚合商在接收价格后基于纳什-海萨尼理论进行利益分配。然后,针对储能设备前期投入较高的实际情况,充分挖掘电动汽车的集群可调度潜力,通过卷积神经网络-双向长短期记忆网络(convolutional neural networks and Bi-directional long short-term memory,CNN-BiLSTM)法处理电动汽车的历史数据以降低不确定性,并制定了利用电动汽车共享储能特性作为储能设备的运行策略。最后,以某市园区综合能源系统为研究对象进行分析。结果表明,所建立的模型可以有效减少碳排放,实现运营商与多用户共赢。展开更多
航路网络作为民航运输网络的运行载体,承担着保障航空器安全高效运行的重要任务。当重要航路点因雷暴扰动失效时,易连锁反应至相邻节点最终导致网络性能的显著下降。针对现有复杂网络节点重要度评估模型未有效考虑雷暴扰动的问题,面向...航路网络作为民航运输网络的运行载体,承担着保障航空器安全高效运行的重要任务。当重要航路点因雷暴扰动失效时,易连锁反应至相邻节点最终导致网络性能的显著下降。针对现有复杂网络节点重要度评估模型未有效考虑雷暴扰动的问题,面向雷暴天气场景,将雷暴扰动特性纳入航路点重要度评估体系,利用博弈论方法对评估指标进行组合赋权,基于引力模型理论改进了TOPSIS(technique for order preference by similarity to an ideal solution)综合评价方法,建立基于博弈论-改进TOPSIS法的节点重要度评估模型,进而采用K中心点算法实现航路点聚类分级。以京津冀地区航班运行为例,对雷暴天气场景下的航路网络节点重要度进行评估,结果表明:在京津冀航路网络内,南部地区的航路点更易受雷暴天气影响且分布较为密集,该航路网络包含9个重要航路点,当航路网络中的重要航路点因雷暴影响而失效时,会对航路网络性能产生显著的负面影响。提出的基于博弈论-改进TOPSIS法的节点重要度评估模型可以有效识别出雷雨季节或雷暴高发地区航路网络中的重要航路点,从而为雷暴场景下航路网络结构优化与资源配置提供有效依据。展开更多
基金supported by the National Natural Science Fundation of China (60974082 60874085)+2 种基金the Fundamental Research Funds for the Central Universities (K50510700004)the Technology Plan Projects of Guangdong Province (20110401)the Team Project of Hanshan Normal University (LT201001)
文摘To avoid uneven energy consuming in wireless sen- sor networks, a clustering routing model is proposed based on a Bayesian game. In the model, Harsanyi transformation is introduced to convert a static game of incomplete information to the static game of complete but imperfect information. In addition, the existence of Bayesian nash equilibrium is proved. A clustering routing algorithm is also designed according to the proposed model, both cluster head distribution and residual energy are considered in the design of the algorithm. Simulation results show that the algorithm can balance network load, save energy and prolong network lifetime effectively.
基金the National Natural Science Foundation of China (60374023)the Natural ScienceFoundation of Guangdong Province (011629).
文摘The research of cluster supply chains is a new direction and a hotspot of the industrial cluster theory. On the condition of the coordination game, the enterprises may be stuck on the non-efficient equilibrium status, which becomes an important problem that must be considered on cluster supply chains. A symmetrical coordination game model is constituted to describe the competition and cooperation relationship of the same-quality manufacturers on cluster supply chains. The methods of the non-cooperation game theory and the evolutionary game theory are respectively used to analyze the model, whose parameters＇ influences under each method are then compared. It can be concluded that the analysis of the evolutionary game theory is more realistic and practical. Finally, three approaches are considered to break away from being path-dependence locked-in non-efficient status during this coordination game evolutionary process, which provide the development of cluster supply chains with an effective forecasting and Pareto optimizing method.
基金supported by The National High Technology Research and Development Program of China(863)(Grant No.2014AA01A701,2015AA01A706)
文摘Network functions virtualization(NFV) increases network flexibility and scalability by virtualizing network functions running on the general servers and opens the network innovations by outsourcing VNF instances in 5G networks.However,it leads to the incompatibility issue among different VNF instances,which makes operators difficult to determine which VNF instances to select for Service Function Chains(SFCs).In this paper,we divide VNF instances with high compatibility into clusters used for combining VNF instances in 5G networks.Firstly,we define compatibility among different VNF instances.Secondly,aiming to maximize compatibility of each cluster,we propose a novel hypergraph clustering model that divides the VNF instances into multiple clusters.Then,the hypergraph clustering model is transformed to an evolutionary game.Thus,the cluster establishing is transformed to the game equilibrium searching.Furthermore,we propose a discrete time high order replicator dynamic algorithm to find the game equilibrium.Finally,the simulation results show that the proposed approach can improve the quality of SFCs.
文摘This paper proposes a multi-objective optimization design method based on the coalition cooperative game theory where the three design goals have been seen as three game players. By calculating the affecting factors and fuzzy clustering, the design variables are divided into different strategic spaces which belong to each player, then it constructs a payoff function based on the coalition mechanism. Each game player takes its own revenue function as a target and obtains the best strategy versus other players. The best strategies of all players consist of the strategy permutation of a round game and it obtains the final game solutions through multi-round games according to the convergence criterion. A multi-objective optimization example of the luff mechanism of compensative sheave block shows the effectiveness of the coalition cooperative game method.
文摘针对园区综合能源系统中存在多利益主体且收益分配不均的实际情况,提出一种基于混合博弈的双层能量管理模型。首先,建立园区综合能源系统的运行框架,分析上层微网运营商与下层用户聚合商的利益关系。其次,为使园区各主体利益最大化,构建了多用户与微网运营商多方参与的混合博弈模型。其中,运营商通过主从博弈制定向用户的售能价格,用户聚合商在接收价格后基于纳什-海萨尼理论进行利益分配。然后,针对储能设备前期投入较高的实际情况,充分挖掘电动汽车的集群可调度潜力,通过卷积神经网络-双向长短期记忆网络(convolutional neural networks and Bi-directional long short-term memory,CNN-BiLSTM)法处理电动汽车的历史数据以降低不确定性,并制定了利用电动汽车共享储能特性作为储能设备的运行策略。最后,以某市园区综合能源系统为研究对象进行分析。结果表明,所建立的模型可以有效减少碳排放,实现运营商与多用户共赢。
文摘航路网络作为民航运输网络的运行载体,承担着保障航空器安全高效运行的重要任务。当重要航路点因雷暴扰动失效时,易连锁反应至相邻节点最终导致网络性能的显著下降。针对现有复杂网络节点重要度评估模型未有效考虑雷暴扰动的问题,面向雷暴天气场景,将雷暴扰动特性纳入航路点重要度评估体系,利用博弈论方法对评估指标进行组合赋权,基于引力模型理论改进了TOPSIS(technique for order preference by similarity to an ideal solution)综合评价方法,建立基于博弈论-改进TOPSIS法的节点重要度评估模型,进而采用K中心点算法实现航路点聚类分级。以京津冀地区航班运行为例,对雷暴天气场景下的航路网络节点重要度进行评估,结果表明:在京津冀航路网络内,南部地区的航路点更易受雷暴天气影响且分布较为密集,该航路网络包含9个重要航路点,当航路网络中的重要航路点因雷暴影响而失效时,会对航路网络性能产生显著的负面影响。提出的基于博弈论-改进TOPSIS法的节点重要度评估模型可以有效识别出雷雨季节或雷暴高发地区航路网络中的重要航路点,从而为雷暴场景下航路网络结构优化与资源配置提供有效依据。
