For the question that fuzzy c-means(FCM)clustering algorithm has the disadvantages of being too sensitive to the initial cluster centers and easily trapped in local optima,this paper introduces a new metric norm in FC...For the question that fuzzy c-means(FCM)clustering algorithm has the disadvantages of being too sensitive to the initial cluster centers and easily trapped in local optima,this paper introduces a new metric norm in FCM and particle swarm optimization(PSO)clustering algorithm,and proposes a parallel optimization algorithm using an improved fuzzy c-means method combined with particle swarm optimization(AF-APSO).The experiment shows that the AF-APSO can avoid local optima,and get the best fitness and clustering performance significantly.展开更多
Wireless ad hoc network is generally employed in military and emergencies due to its flexibility and easy-to-use.It is suitable for military wireless network that has the charac-teristics of mobility and works effecti...Wireless ad hoc network is generally employed in military and emergencies due to its flexibility and easy-to-use.It is suitable for military wireless network that has the charac-teristics of mobility and works effectively under severe environment and electromagnetic interfering conditions.However,military network cannot benefit from existing routing protocol directly;there exists quite many features which are only typical for military network.For example,there are several radios in the same vehicle.This paper presents a new metric for routing,which is employed in A*algorithm.The goal of the metric is tochoose a route of less distance and less transmission delay between a source and a destination.Our metric is a function of the distance between the ends and the bandwidth over the link.Moreover,we take frequency selection into account since a node can work on multi-frequencies.This paper proposed the new metric,and experimented it based on A*algorithm.The simulation results show that this metric can find the optimal route which has less transmission delay compared to the shortest path routing.展开更多
基金the China Agriculture Research System(No.CARS-49)Jiangsu College of Humanities and Social Sciences Outside Campus Research Base & Chinese Development of Strategic Research Base for Internet of Things
文摘For the question that fuzzy c-means(FCM)clustering algorithm has the disadvantages of being too sensitive to the initial cluster centers and easily trapped in local optima,this paper introduces a new metric norm in FCM and particle swarm optimization(PSO)clustering algorithm,and proposes a parallel optimization algorithm using an improved fuzzy c-means method combined with particle swarm optimization(AF-APSO).The experiment shows that the AF-APSO can avoid local optima,and get the best fitness and clustering performance significantly.
文摘Wireless ad hoc network is generally employed in military and emergencies due to its flexibility and easy-to-use.It is suitable for military wireless network that has the charac-teristics of mobility and works effectively under severe environment and electromagnetic interfering conditions.However,military network cannot benefit from existing routing protocol directly;there exists quite many features which are only typical for military network.For example,there are several radios in the same vehicle.This paper presents a new metric for routing,which is employed in A*algorithm.The goal of the metric is tochoose a route of less distance and less transmission delay between a source and a destination.Our metric is a function of the distance between the ends and the bandwidth over the link.Moreover,we take frequency selection into account since a node can work on multi-frequencies.This paper proposed the new metric,and experimented it based on A*algorithm.The simulation results show that this metric can find the optimal route which has less transmission delay compared to the shortest path routing.
