نتایج جستجو برای: watching satellite networks
تعداد نتایج: 510144 فیلتر نتایج به سال:
This paper investigates the performance of integrated wireless sensor and multibeam satellite networks (IWSMSNs) under terrestrial interference. The IWSMSNs constitute sensor nodes (SNs), satellite sinks (SSs), multibeam satellite and remote monitoring hosts (RMHs). The multibeam satellite covers multiple beams and multiple SSs in each beam. The SSs can be directly used as SNs to transmit sensi...
We study the performance of Selective Acknowledgments with TCP over the ATM-UBR service category. We examine various UBR drop policies, TCP mechanisms and network con gurations to recommend optimal parameters for TCP over UBR. We discuss various TCP congestion control mechanisms compare their performance for LAN and WAN networks. We describe the e ect of satellite delays on TCP performance over...
Achieving QoS for TCP traffic in Satellite Networks with Differentiated Services Arjan Durresi, Sastri Kota, Mukul Goyal, Raj Jain, Venkata Bharani Department of Computer and Information Science, The Ohio State University, 2015 Neil Ave, Columbus, OH 43210-1277, USA Tel: 614-688-5610, Fax: 614-292-2911, Email: {durresi, mukul, bharani}@cis.ohio-state.edu Lockheed Martin 60 East Tasman Avenue MS...
Middleware promises seamless integration of heterogeneous networks and computing/telecommunications environments by providing distributed services to user applications. With Low Earth Orbit satellite networks being deployed as communications infrastructure, it is important that middleware can operate efficiently over these networks. For applications to have good performance, efficient and robus...
The design and development of future satellite networks includes preferably, besides a thorough system definition phase, the simulation of the entire satellite network with special interest on the network behavior and the (prototype based) development of system components. Especially with respect to the development of MAC protocols which should preferably included at an earliest stage in the ne...
Introduction: Encoding models are used to predict human brain activity in response to sensory stimuli. The purpose of these models is to explain how sensory information represent in the brain. Convolutional neural networks trained by images are capable of encoding magnetic resonance imaging data of humans viewing natural images. Considering the hemodynamic response function, these networks are ...
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