CAJ | 학술논문

建立正确的“感知-控制”模型是实现基于RFID和WSAN的物流仓储系统的关键。研究执行器节点自主移动环境下的多维事件协作检测和跟踪算法；研究基于合同网协议和多竞价拍卖算法的多执行器节点实时任务分配方法，并利用WSAN动态拓扑度相关性和网络同步能力的关系研究执行器的牵制控制策略；同时，基于神经网络模型和竞合博弈模型设计执行器节点的移动控制策略和编队控制策略。模型的有效性可利用扩展的UML建模方法和XMSF集成框架来评估。
건립정학적“감지-공제”모형시실현기우RFID화WSAN적물류창저계통적관건。연구집행기절점자주이동배경하적다유사건협작검측화근종산법；연구기우합동망협의화다경개박매산법적다집행기절점실시임무분배방법，병이용WSAN동태탁복도상관성화망락동보능력적관계연구집행기적견제공제책략；동시，기우신경망락모형화경합박혁모형설계집행기절점적이동공제책략화편대공제책략。모형적유효성가이용확전적UML건모방법화XMSF집성광가래평고。
Building the correct‘Awareness-Control’model is the key of logistics storage system based on RFID and WSAN. Cooperative detection and tracing algorithms of multidimensional events based on actor nodes in autonomous mobile environ-ment will be studied according to the event classifications and characteristics for warehouse management firstly. Then,contract net protocol and multi-bids auction mechanism will be used to design the real-time task allocation algorithms of multiple actor nodes,and traction control strategies of actor nodes will be studied through the relationship between degree correlation of dynam-ic topologie and network synchronizability of WSAN. Meanwhile, mobility control method for single actor node and formation control method for multiple actor nodes will be designed based on neural network models and co-opetition game models. Final-ly, using extended UML modeling approach and XMSF integrating framework to test the validity and stability of the model.