The fuzzy integration evaluation method （FIEM） is studied in order to select the best orbital elements from the multi-group initial orbits determined by a satellite TT＆C （Tracking, Telemetry and Control） center w...The fuzzy integration evaluation method （FIEM） is studied in order to select the best orbital elements from the multi-group initial orbits determined by a satellite TT＆C （Tracking, Telemetry and Control） center with all kinds of data sources. By employing FIEM together with the experience of TT＆C experts, the index system to evaluate the selection of the best initial orbits is established after the data sources and orbit determination theories are studied. Besides, the concrete steps in employing the method are presented. Moreover, by taking the objects to be evaluated as evaluation experts, the problem of how to generate evaluation matrices is solved. Through practical application, the method to select the best initial orbital elements has been proved to be flexible and effective The originality of the method is to find a new evaluation criterion （comparing the actually tracked orbits） replacing the traditional one （comparing the nominal orbits） for selecting the best orbital elements.展开更多
This paper proposes a new approach for load balancing by using receiver-initiated load transfer method. Usually data transfer for load balancing starts from a sender node. This is what called a sender-initiated method...This paper proposes a new approach for load balancing by using receiver-initiated load transfer method. Usually data transfer for load balancing starts from a sender node. This is what called a sender-initiated method. In this paper, instead, a load balancing action starts from a receiver node;the receiver node initiates load balancing for asking a sender node for load transfer. Fuzzy logic control is applied in this approach to avoid using a fixed threshold value in load balancing in ad-hoc networks. Performance for the receiver-initiated approach is evaluated and compared with other load balancing approaches—BID protocol, fuzzy logic sender-initiated algorithm and non-fuzzy (threshold based) receiver-initiated algorithm. The results show that the receiver-initiated approach improves network performance by comparing with the other three.展开更多
In this paper, a sender-initiated protocol is applied which uses fuzzy logic control method to improve computer networks performance by balancing loads among computers. This new model devises sender-initiated protocol...In this paper, a sender-initiated protocol is applied which uses fuzzy logic control method to improve computer networks performance by balancing loads among computers. This new model devises sender-initiated protocol for load transfer for load balancing. Groups are formed and every group has a node called a designated representative (DR). During load transferring processes, loads are transferred using the DR in each group to achieve load balancing purposes. The simulation results show that the performance of the protocol proposed is better than the compared conventional method. This protocol is more stable than the method without using the fuzzy logic control.展开更多
基金This project was supported by the Evaluate Quality of Satellite TT&C Mission(C0112)
文摘The fuzzy integration evaluation method （FIEM） is studied in order to select the best orbital elements from the multi-group initial orbits determined by a satellite TT＆C （Tracking, Telemetry and Control） center with all kinds of data sources. By employing FIEM together with the experience of TT＆C experts, the index system to evaluate the selection of the best initial orbits is established after the data sources and orbit determination theories are studied. Besides, the concrete steps in employing the method are presented. Moreover, by taking the objects to be evaluated as evaluation experts, the problem of how to generate evaluation matrices is solved. Through practical application, the method to select the best initial orbital elements has been proved to be flexible and effective The originality of the method is to find a new evaluation criterion （comparing the actually tracked orbits） replacing the traditional one （comparing the nominal orbits） for selecting the best orbital elements.
文摘This paper proposes a new approach for load balancing by using receiver-initiated load transfer method. Usually data transfer for load balancing starts from a sender node. This is what called a sender-initiated method. In this paper, instead, a load balancing action starts from a receiver node;the receiver node initiates load balancing for asking a sender node for load transfer. Fuzzy logic control is applied in this approach to avoid using a fixed threshold value in load balancing in ad-hoc networks. Performance for the receiver-initiated approach is evaluated and compared with other load balancing approaches—BID protocol, fuzzy logic sender-initiated algorithm and non-fuzzy (threshold based) receiver-initiated algorithm. The results show that the receiver-initiated approach improves network performance by comparing with the other three.
文摘In this paper, a sender-initiated protocol is applied which uses fuzzy logic control method to improve computer networks performance by balancing loads among computers. This new model devises sender-initiated protocol for load transfer for load balancing. Groups are formed and every group has a node called a designated representative (DR). During load transferring processes, loads are transferred using the DR in each group to achieve load balancing purposes. The simulation results show that the performance of the protocol proposed is better than the compared conventional method. This protocol is more stable than the method without using the fuzzy logic control.
