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    题名 作者 年代 出处 被引量
1多智能体系统中的任务分配蚁群优化算法(英文)显示文摘Task allocation is a key issue of agent cooperation mechanism in Multi-Agent Systems. The important features of an agent system such as the latency of the network infrastructure, dynamic topology, and node heterogeneity impose new challenges on the task allocation in Multi-Agent environments. Based on the traditional parallel computing task allocation method and Ant Colony Optimization (ACO), a novel task allocation method named Collection Path Ant Colony Optimization (CPACO) is proposed to achieve global optimization and reduce processing time. The existing problems of ACO are analyzed; CPACO overcomes such problems by modifying the heuristic function and the update strategy in the Ant-Cycle Model and establishing a threedimensional path pheromone storage space. The experimental results show that CPACO consumed only 10.3% of the time taken by the Global Search Algorithm and exhibited better performance than the Forward Optimal Heuristic Algorithm.王鲁 王志良 胡四泉 刘磊 2013China Communications2013,10,3:1
2Fuzzy Ontology Construction Based on Incomplete Knowledge显示文摘There exists widely incomplete knowledge all over the world, but incomplete knowledge still cannot be dealt with in the process of ontology construction. Hence, a method for fuzzy ontology construction based on incomplete knowledge is proposed. First, the calculation principle of the attribute weight of the ontology concept is presented, and the calculation function of the attribute weight is derived through experiments. Then, the membership degree of the incomplete individual to the concept is computed. Finally, the incomplete individual is classified according to the principle of the variable precision rough set model. The experimental results show that the average precision of the classification of the incomplete individuals is 81.7% when the common attributes are omitted and that it is difficult to classify the incomplete individuals correctly when the private attributes are omitted. This method is significant for handling incomplete knowledge in the process of ontology construction.Liu Jie Li Dongle Zhang Yuan Luo Liming 2012China Communications2012,9,11:0
3Service-Oriented Middleware for Heterogeneous Environment in Internet of Things显示文摘A great number of sensor technologies are applied in the Internet of Things (IoT) currently and more are emerging,which makes the IoT a heterogeneous network.This paper discusses the convergence and integration problem in IoT.A Service-Oriented Middleware for Heterogeneous Environment (SOMHE) in IoT is proposed.The purpose of the middleware is to shield the difference between protocols in the sensor layers such as Radio Frequency Identification (RFID) and ZigBee by defining the data conversion and mapping model.A Web service interface is supplied by this middleware,thus the complexity of high level application development can be reduced greatly.The feasibility and reliability of this middleware is verified by a demonstration system.Wu Yuexin Zhang Yinghai Fan Chunxiao Zou Junwei 2012China Communications2012,9,9:0
4移动P2P流媒体中基于有效容量的邻居节点选择机制(英文)显示文摘For Peer-to-Peer (P2P) streaming services in mobile networks, the selection of appropriate neighbour peers from candidate peers with demanding data is an important approach to improve Quality-of-Service (QoS). This paper proposes a novel Effective Capacity Peer Selection (ECPS) scheme based on effective capacity. In the ECPS scheme, the neighbour peer selection problem was modeled using the Multiple Attribute Decision Making (MADM) theory, which considered multiple factors of candidate peers, including Signal to Interference and Noise Ratio (SINR), residency time, power level, security, moving speed, and effective capacity. This model could increase the suitability of ECPS for wireless mobile environments. Then, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was used to solve the MADM problem and identify the preferred neighbour peers. Simulation results show that the ECPS scheme can improve the network throughput, reduce packet delay by about 82%, and almost double the packet delivery ratio of the mobile P2P streaming service.夏海轮 王宁 曾志民 2013China Communications2013,10,5:0
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