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Titlebook: Quality, Reliability, Security and Robustness in Heterogeneous Networks; 7th International Co Xi Zhang,Daji Qiao Conference proceedings 201

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楼主: miserly
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Resource Allocation with Minimum End-to-End Delay Differential Consideration in Multi-hop Cognitive mal end-to-end delay differential becomes an important issue. We consider the accumulated delays (including sensing and negotiating delay, and queuing delay) up to this hop, and the rates of channel error and primary-user interruption on different bands. We then adopt four approximation schemes to s
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Enabling Multi-packet Transmission and Reception: An Adaptive MAC Protocol for MANETsoordination is completed, multiple transmissions can then be carried out concurrently, where frame aggregation is used for network capacity and throughput improvement and accordingly block acknowledgement is employed for efficiently reporting multiple packet reception status. We evaluate the perform
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1867-8211 ation, wireless protocols and algorithms, advanced networking systems, sensor networks, scheduling and optimization, routing protocols, multimedia and stream processing. Workshop papers are organized into two sessions: DSRC networks and DSRC security..978-3-642-29221-7978-3-642-29222-4Series ISSN 1867-8211 Series E-ISSN 1867-822X
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Transport Control Based on Spectrum Switching Detection in Cognitive Radio Ad Hoc Networkseeding links. Based on the scheme, a new transport control mechanism is then designed to deal with spectrum switching in CRAHNs. We implement the proposed mechanisms on a USRP2-based testbed. The experiment results demonstrate that the mechanisms can detect the spectrum switching and improve end-to-end throughput by up to 45%.
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Cross-Layer Control for Utility Maximization in Multihop Cognitive Radio Networks algorithm can maintain stability of all network queues while keeping collision probabilities with primary users below predetermined desirable values. To the best of our knowledge, this paper is the first attempt to design optimal control algorithms for multihop cognitive radio networks.
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Studying Non-intrusive Tracing in the Internetstination pairs. Given a potentially suspicious source, we identify the true destination of this source. We compute the error probability of our algorithm and show that its value decreases exponentially as the observation time increases. Our simulation results show that our approach performs well.
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