作为移动IP技术的新的发展方向,移动式网络技术是将节点移动性向网络移动性(NEMO)扩展的关键技术,降低移动式网络在注册和认证过程中的延时,能够提高移动式网络技术的实际应用。提出了新的基于Mob ile IP/AAA模型的移动式网络认证方法,...作为移动IP技术的新的发展方向,移动式网络技术是将节点移动性向网络移动性(NEMO)扩展的关键技术,降低移动式网络在注册和认证过程中的延时,能够提高移动式网络技术的实际应用。提出了新的基于Mob ile IP/AAA模型的移动式网络认证方法,研究了AAAL与AAAH之间的距离以及本地切换率对认证延时的影响,并提交了NS2仿真试验结果和安全性分析。该方法能够实现低切换时延,并保证移动式网络注册和切换中的安全性。展开更多
针对新能源并网的主动支撑应用需求问题,选取三相全桥AC-DC变换器加双有源桥(dual active bridge,DAB)变换器的两级式结构作为研究对象。在器件寄生电容的影响下,DAB变换器会面临软开关难以实现的问题;且在宽电压范围应用场合下,传统的...针对新能源并网的主动支撑应用需求问题,选取三相全桥AC-DC变换器加双有源桥(dual active bridge,DAB)变换器的两级式结构作为研究对象。在器件寄生电容的影响下,DAB变换器会面临软开关难以实现的问题;且在宽电压范围应用场合下,传统的拓展移相(extend phase shift,EPS)控制在远离单位电压增益点时会带来较大无功环流问题。因此,提出一种拓扑结构及其调制方法,通过添加激磁电感来注入额外的激磁电流,从而保证DAB变换器的全负载范围软开关实现,同时通过对传统EPS控制进行改进,保证宽电压范围下的高效率传能。最后搭建一个20 kW全SiC器件的实验样机,对装置进行稳态测试及软开关性能测试,验证了所提方法的有效性。展开更多
To solve dynamic obstacle avoidance problems, a novel algorithm was put forward with the advantages of wireless sensor network (WSN). In view of moving velocity and direction of both the obstacles and robots, a mathem...To solve dynamic obstacle avoidance problems, a novel algorithm was put forward with the advantages of wireless sensor network (WSN). In view of moving velocity and direction of both the obstacles and robots, a mathematic model was built based on the exposure model, exposure direction and critical speeds of sensors. Ant colony optimization (ACO) algorithm based on bionic swarm intelligence was used for solution of the multi-objective optimization. Energy consumption and topology of the WSN were also discussed. A practical implementation with real WSN and real mobile robots were carried out. In environment with multiple obstacles, the convergence curve of the shortest path length shows that as iterative generation grows, the length of the shortest path decreases and finally reaches a stable and optimal value. Comparisons show that using sensor information fusion can greatly improve the accuracy in comparison with single sensor. The successful path of robots without collision validates the efficiency, stability and accuracy of the proposed algorithm, which is proved to be better than tradition genetic algorithm (GA) for dynamic obstacle avoidance in real time.展开更多
A real-world localization system for wireless sensor networks that adapts for mobility and irregular radio propagation model is considered. The traditional range-based techniques and recent range-free localization sch...A real-world localization system for wireless sensor networks that adapts for mobility and irregular radio propagation model is considered. The traditional range-based techniques and recent range-free localization schemes are not well competent for localization in mobile sensor networks, while the probabilistic approach of Bayesian filtering with particle-based density representations provides a comprehensive solution to such localization problem. Monte Carlo localization is a Bayesian filtering method that approximates the mobile node's location by a set of weighted particles. In this paper, an enhanced Monte Carlo localization algorithm-Extended Monte Carlo Localization (Ext-MCL) is proposed, i.e., the traditional Monte Carlo localization algorithm is improved and extended to make it suitable for the practical wireless network environment where the radio propagation model is irregular. Simulation results show the proposal gets better localization accuracy and higher localizable node number than previously proposed Monte Carlo localization schemes not only for ideal radio model, but also for irregular one.展开更多
E-commerce systems for construction material procurement are becoming increasingly important in Hong Kong. These E-commerce systems are non-interoperable and create problems for the buyers who use these systems to pur...E-commerce systems for construction material procurement are becoming increasingly important in Hong Kong. These E-commerce systems are non-interoperable and create problems for the buyers who use these systems to purchase construction materials. This paper presents the mobile agent-based approach and Web services-based approach for enabling interoperation of these systems in the E-Union environment.展开更多
This paper presents two aggregation strategies in convex intersection region for the distributed mobile sensor network(MSN) with heterogeneous dynamics. First, the authors analyze individual local perception model and...This paper presents two aggregation strategies in convex intersection region for the distributed mobile sensor network(MSN) with heterogeneous dynamics. First, the authors analyze individual local perception model and dynamics model, set the intersection of all the local perceptions as the region of interest(ROI). The MSN consists of sensors with first-order dynamics and second-order dynamics. Then, the authors design a control strategy to ensure that individuals aggregate at a point in the ROI relying on their local perceptions and the locations of neighbors within their communication scope. The authors describe this situation of aggregation as rendezvous. In addition, the authors introduce artificial potential field to make sensors deploy dispersedly in a bounded range near the ROI,which the authors call dispersed deployment. Finally, the authors prove the stability of the proposed strategies and validate the theoretical results by simulations. This research is applied for the cooperative deployment and data collection of mobile platforms with different dynamics under the condition of inaccurate perception.展开更多
文摘作为移动IP技术的新的发展方向,移动式网络技术是将节点移动性向网络移动性(NEMO)扩展的关键技术,降低移动式网络在注册和认证过程中的延时,能够提高移动式网络技术的实际应用。提出了新的基于Mob ile IP/AAA模型的移动式网络认证方法,研究了AAAL与AAAH之间的距离以及本地切换率对认证延时的影响,并提交了NS2仿真试验结果和安全性分析。该方法能够实现低切换时延,并保证移动式网络注册和切换中的安全性。
基金Project(60475035) supported by the National Natural Science Foundation of China
文摘To solve dynamic obstacle avoidance problems, a novel algorithm was put forward with the advantages of wireless sensor network (WSN). In view of moving velocity and direction of both the obstacles and robots, a mathematic model was built based on the exposure model, exposure direction and critical speeds of sensors. Ant colony optimization (ACO) algorithm based on bionic swarm intelligence was used for solution of the multi-objective optimization. Energy consumption and topology of the WSN were also discussed. A practical implementation with real WSN and real mobile robots were carried out. In environment with multiple obstacles, the convergence curve of the shortest path length shows that as iterative generation grows, the length of the shortest path decreases and finally reaches a stable and optimal value. Comparisons show that using sensor information fusion can greatly improve the accuracy in comparison with single sensor. The successful path of robots without collision validates the efficiency, stability and accuracy of the proposed algorithm, which is proved to be better than tradition genetic algorithm (GA) for dynamic obstacle avoidance in real time.
基金the National Natural Science Foundation of China (No.60671033)the Research Fund for the Doctoral Program of Higher Education (No.20060614015).
文摘A real-world localization system for wireless sensor networks that adapts for mobility and irregular radio propagation model is considered. The traditional range-based techniques and recent range-free localization schemes are not well competent for localization in mobile sensor networks, while the probabilistic approach of Bayesian filtering with particle-based density representations provides a comprehensive solution to such localization problem. Monte Carlo localization is a Bayesian filtering method that approximates the mobile node's location by a set of weighted particles. In this paper, an enhanced Monte Carlo localization algorithm-Extended Monte Carlo Localization (Ext-MCL) is proposed, i.e., the traditional Monte Carlo localization algorithm is improved and extended to make it suitable for the practical wireless network environment where the radio propagation model is irregular. Simulation results show the proposal gets better localization accuracy and higher localizable node number than previously proposed Monte Carlo localization schemes not only for ideal radio model, but also for irregular one.
文摘E-commerce systems for construction material procurement are becoming increasingly important in Hong Kong. These E-commerce systems are non-interoperable and create problems for the buyers who use these systems to purchase construction materials. This paper presents the mobile agent-based approach and Web services-based approach for enabling interoperation of these systems in the E-Union environment.
基金supported by the National Natural Science Foundation of China under Grant No.61203078the Foundation for Innovative Research Groups of the National Natural Science Foundation of China under Grant No.61321002+3 种基金the Projects of Major International(Regional)Joint Research Program NSFC under Grant No.61120106010the Beijing Education Committee Cooperation Building Foundation Projectthe Program for Changjiang Scholars and Innovative Research Team in University under Grant No.IRT1208the Chang Jiang Scholars Program,and the Beijing Outstanding Ph.D.Program Mentor under Grant No.20131000704
文摘This paper presents two aggregation strategies in convex intersection region for the distributed mobile sensor network(MSN) with heterogeneous dynamics. First, the authors analyze individual local perception model and dynamics model, set the intersection of all the local perceptions as the region of interest(ROI). The MSN consists of sensors with first-order dynamics and second-order dynamics. Then, the authors design a control strategy to ensure that individuals aggregate at a point in the ROI relying on their local perceptions and the locations of neighbors within their communication scope. The authors describe this situation of aggregation as rendezvous. In addition, the authors introduce artificial potential field to make sensors deploy dispersedly in a bounded range near the ROI,which the authors call dispersed deployment. Finally, the authors prove the stability of the proposed strategies and validate the theoretical results by simulations. This research is applied for the cooperative deployment and data collection of mobile platforms with different dynamics under the condition of inaccurate perception.
