Aimed at three basic services(event-driven,data query and stream query),the paper presents a QoS routing model for multimedia sensor ***,based on the traditional ant-based algorithm,we propose an ant-based service-awa...
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Aimed at three basic services(event-driven,data query and stream query),the paper presents a QoS routing model for multimedia sensor ***,based on the traditional ant-based algorithm,we propose an ant-based service-aware routing(ASAR)*** ASAR chooses suitable paths to meet diverse QoS requirements from different kinds of services,thus maximizing network utilization and improving network ***,extensive simulation is conducted to verify the effectiveness of our solution and we give a detailed discussion on the effects of different system *** to the typical routing algorithm in sensor networks and the traditional ant-based algorithm,our ASAR algorithm has better convergence and significantly provides better QoS for multiple types of services in the multimedia sensor networks.
This paper discusses the document clustering and visualization process: analyzing documents index, clustering document, and visualizing exploration. It focuses on ant-based clustering algorithm and some significant im...
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ISBN:
(纸本)0387283188
This paper discusses the document clustering and visualization process: analyzing documents index, clustering document, and visualizing exploration. It focuses on ant-based clustering algorithm and some significant improvements. Clusterings are formed on the plane by ants walking, picking up or dropping down projected document vectors with different probability. It is shown that the similar documents appear in spatial proximity, whereas unrelated documents are clearly separated in visual space.
This paper discusses the document clustering and visualization process:analyzing documents index,clustering document,and visualizing *** focuses on ant-based clustering algorithm and some significant *** are formed on...
详细信息
This paper discusses the document clustering and visualization process:analyzing documents index,clustering document,and visualizing *** focuses on ant-based clustering algorithm and some significant *** are formed on the plane by ants walking,picking up or dropping down projected document vectors with different *** is shown that the similar documents appear in spatial proximity,whereas unrelated documents are clearly separated in visual space.
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