FLEXIBLE NETWORK TRANSCEIVER NEXT GENERATION TELEMETRY NETWORKING
KeywordsTelemetry Network Transceiver
Flexible Network Transceiver
Flexible Physical Layer
Flexible Telemetry Receiver
Flexible Network Processor
Flexible Phased Array Antenna
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Collection InformationProceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection.
AbstractThis paper describes the Flexible Telemetry Transceiver (FNT)-a modular, scalable, standards-based, software configurable, microwave wireless telemetry network transceiver. The FNT enables flexible, high-rate, long-range, duplex, network services across multipoint to multipoint wireless channel.
SponsorsInternational Foundation for Telemetering
Showing items related by title, author, creator and subject.
Flexible Switching for Flight Test NetworksCollins, Diarmuid; Curtiss-Wright Corporation (International Foundation for Telemetering, 2015-10)The network switch is a critical element in the flight test network. All devices in the network are configured, synchronised and managed via the switch. In addition to this all acquired data is routed through the switch. For these reasons, the flight test network switch has always needed to be rugged and reliable with high throughput and simple intuitive setup. Ethernet technology and the move towards open standards within FTI systems have enabled flight test networks to become increasingly flexible and heterogeneous. Modern FTI networks may have different synchronisation and data transmission protocols running simultaneously. It is also important to quickly switch network configurations for different flight profiles and to enable new features to be easily added to existing installations. This paper examines the increasing network interoperability and flexibility challenges and discusses how the network switch is best placed to provide solutions.
DESCRIPTION AND ANALYSIS OF A FLEXIBLE HARDWARE ARCHITECTURE FOR EVENT-DRIVEN DISTRIBUTED SENSOR NETWORK NODESDavis, Jesse; Kyker, Ron; Berry, Nina; Sandia National Laboratories (International Foundation for Telemetering, 2003-10)A particular engineering aspect of distributed sensor networks that has not received adequate attention is the system level hardware architecture of the individual nodes of the network. A novel hardware architecture based on an idea of task specific modular computing is proposed to provide for both the high flexibility and low power consumption required for distributed sensing solutions. The power consumption of the architecture is mathematically analyzed against a traditional approach, and guidelines are developed for application scenarios that would benefit from using this new design.
Optimization schemes for queueing networks with applications to flexible manufacturing systems.Askin, Ronald G.; Krisht, Ali Hussein; Sen, Suvrajeet; Lamond, Bernard; Vakharia, Asoo (The University of Arizona., 1990)Product-form queueing networks have been useful for modeling complex systems such as flexible manufacturing systems and computer systems. While the literature is rich with queueing models, little attention has been paid to the use of these models in optimization schemes. This dissertation addresses the optimal design of complex systems in conjunction with closed queueing network theory. The overall plan is as follows: Product-form queueing network models are used to evaluate system "performance measures" for a given setting of system "decision parameters". The performance measures are useful in the computation of system cost functions and/or their sensitivities with respect to decision parameters. Optimization algorithms are applied in order to find the set of decision parameter values which optimize performance measures and/or minimize the cost of the system. Typical performance measures are the throughput (production rate) and average queue lengths at individual nodes of the system. Sensitivities of performance measures with respect to the decision parameters are derived in closed-form. These sensitivities are used to study the concavity (convexity) properties of performance measures. Both the concavity properties and the sensitivities of performance measures are then utilized in the formulation and solution procedures of the optimization models. Decision variables for the design and operation of queueing systems include service rates, routing of jobs, number of servers, and level of work-in-process. Models with a single decision variable type, such as service rates, are considered first. Hybrid models which include several types of decision variables such as service rates and work-in-process levels are then addressed. Constraints include meeting production goals, capital budgeting, and bounds on decision variables. The optimization models are discussed and solved to optimality. Numerical examples are provided and results are analysed.