System reliability optimization problem of multi-source multi-sink flow network is defined by searching the optimal components that maximize the reliability and minimize the total assignment cost. Therefore, a genetic...System reliability optimization problem of multi-source multi-sink flow network is defined by searching the optimal components that maximize the reliability and minimize the total assignment cost. Therefore, a genetic-based approach is proposed to solve the components assignment problem under budget constraint. The mathematical model of the optimization problem is presented and solved by the proposed genetic-based approach. The proposed approach is based on determining the optimal set of lower boundary points that maximize the system reliability such that the total assignment cost does not exceed the specified budget. Finally, to evaluate our approach, we applied it to various network examples with different numbers of available components;two-source two-sink network and three-source two-sink network.展开更多
A heterogeneous coverage method with multiple unmanned aerial vehicle assisted sink nodes(MUAVSs)for multi-objective optimization problem(MOP)is proposed,which is based on quantum wolf pack evolution algorithm(QWPEA)a...A heterogeneous coverage method with multiple unmanned aerial vehicle assisted sink nodes(MUAVSs)for multi-objective optimization problem(MOP)is proposed,which is based on quantum wolf pack evolution algorithm(QWPEA)and power law entropy(PLE)theory.The method is composed of preset move and autonomous coordination stages for satisfying non-repeated coverage,connectedness,and energy balance of sink layer critical requirements,which is actualized to cover sensors layer in large-scale outside wireless sensor networks(WSNs).Simulation results show that the performance of the proposed technique is better than the existing related coverage technique.展开更多
多sink节点的合理部署,能有效延长无线传感器网络(WSN)寿命。基于随机分布无线传感器网络结构,建立了网络寿命模型,推导出随机分布WSN网络寿命的表达式。提出RDF(Region Density First)算法,可以在给定sink节点数目的情况下,快速有效确...多sink节点的合理部署,能有效延长无线传感器网络(WSN)寿命。基于随机分布无线传感器网络结构,建立了网络寿命模型,推导出随机分布WSN网络寿命的表达式。提出RDF(Region Density First)算法,可以在给定sink节点数目的情况下,快速有效确定sink节点位置。通过理论分析和仿真验证,证明所提出的部署策略能有效延长网络寿命。展开更多
文摘System reliability optimization problem of multi-source multi-sink flow network is defined by searching the optimal components that maximize the reliability and minimize the total assignment cost. Therefore, a genetic-based approach is proposed to solve the components assignment problem under budget constraint. The mathematical model of the optimization problem is presented and solved by the proposed genetic-based approach. The proposed approach is based on determining the optimal set of lower boundary points that maximize the system reliability such that the total assignment cost does not exceed the specified budget. Finally, to evaluate our approach, we applied it to various network examples with different numbers of available components;two-source two-sink network and three-source two-sink network.
基金Supported by the National Natural Science Foundation of China(No.61571318)Key Research and Development Project of Hainan(No.ZDYF2018006)+1 种基金Independent Innovation Fund of Tianjin UniversityDoctoral Fund Funded Projects
文摘A heterogeneous coverage method with multiple unmanned aerial vehicle assisted sink nodes(MUAVSs)for multi-objective optimization problem(MOP)is proposed,which is based on quantum wolf pack evolution algorithm(QWPEA)and power law entropy(PLE)theory.The method is composed of preset move and autonomous coordination stages for satisfying non-repeated coverage,connectedness,and energy balance of sink layer critical requirements,which is actualized to cover sensors layer in large-scale outside wireless sensor networks(WSNs).Simulation results show that the performance of the proposed technique is better than the existing related coverage technique.
文摘多sink节点的合理部署,能有效延长无线传感器网络(WSN)寿命。基于随机分布无线传感器网络结构,建立了网络寿命模型,推导出随机分布WSN网络寿命的表达式。提出RDF(Region Density First)算法,可以在给定sink节点数目的情况下,快速有效确定sink节点位置。通过理论分析和仿真验证,证明所提出的部署策略能有效延长网络寿命。
