Cellular network operators have problems to test their network without affecting their user experience. Testingnetwork performance in a loaded situation is a challenge for the network operator because network performa...Cellular network operators have problems to test their network without affecting their user experience. Testingnetwork performance in a loaded situation is a challenge for the network operator because network performance differswhen it has more load on the radio access part. Therefore, in this paper, deploying swarming drones is proposed to loadthe cellular network and scan/test the network performance more realistically. Besides, manual swarming dronenavigation is not efficient enough to detect problematic regions. Hence, particle swarm optimization is proposed to bedeployed on swarming drone to find the regions where there are performance issues. Swarming drone communicationshelps to deploy the particle swarm optimization (PSO) method on them. Loading and testing swarm separation help tohave almost non-stochastic received signal level as an objective function. Moreover, there are some situations that morethan one network parameter should be used to find a problematic region in the cellular network. It is also proposed toapply multi-objective PSO to find more multi-parameter network optimization at the same time.展开更多
In this paper,the flocking flight of Northern Bald Ibises(Geronticus eremita)and their induced drag during the flock are investigated.Northern Bald Ibises are long-range migratory birds.These birds fly in an echelon a...In this paper,the flocking flight of Northern Bald Ibises(Geronticus eremita)and their induced drag during the flock are investigated.Northern Bald Ibises are long-range migratory birds.These birds fly in an echelon and V-shaped formation,possibly to reduce their drag;therefore,as a result,they may save energy to fly farther.The aerodynamic drag forces of each individual bird and the flock are modeled theoretically.Extensive analysis shows how,during flocking flight,the drag force reduces as the size of the flock increases.Additionally,wingtip spacing effects on the total drag of the flock are investigated.The fraction of drag reduction of individual ibises is also analyzed.Four initial arrangement scenarios are considered for flocks of ibises of different sizes in this study.Two shuffling algorithms are applied for position switching and energy balancing of the ibises during their flight.It is suggested that ibises can save energy by means of different arrangements of flock members during long flights.The results indicate that how different sizes of the birds can manipulate their positions to fly further and save energy during migration.展开更多
文摘Cellular network operators have problems to test their network without affecting their user experience. Testingnetwork performance in a loaded situation is a challenge for the network operator because network performance differswhen it has more load on the radio access part. Therefore, in this paper, deploying swarming drones is proposed to loadthe cellular network and scan/test the network performance more realistically. Besides, manual swarming dronenavigation is not efficient enough to detect problematic regions. Hence, particle swarm optimization is proposed to bedeployed on swarming drone to find the regions where there are performance issues. Swarming drone communicationshelps to deploy the particle swarm optimization (PSO) method on them. Loading and testing swarm separation help tohave almost non-stochastic received signal level as an objective function. Moreover, there are some situations that morethan one network parameter should be used to find a problematic region in the cellular network. It is also proposed toapply multi-objective PSO to find more multi-parameter network optimization at the same time.
文摘In this paper,the flocking flight of Northern Bald Ibises(Geronticus eremita)and their induced drag during the flock are investigated.Northern Bald Ibises are long-range migratory birds.These birds fly in an echelon and V-shaped formation,possibly to reduce their drag;therefore,as a result,they may save energy to fly farther.The aerodynamic drag forces of each individual bird and the flock are modeled theoretically.Extensive analysis shows how,during flocking flight,the drag force reduces as the size of the flock increases.Additionally,wingtip spacing effects on the total drag of the flock are investigated.The fraction of drag reduction of individual ibises is also analyzed.Four initial arrangement scenarios are considered for flocks of ibises of different sizes in this study.Two shuffling algorithms are applied for position switching and energy balancing of the ibises during their flight.It is suggested that ibises can save energy by means of different arrangements of flock members during long flights.The results indicate that how different sizes of the birds can manipulate their positions to fly further and save energy during migration.
