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Titlebook: Wireless Algorithms, Systems, and Applications; 4th International Co Benyuan Liu,Azer Bestavros,Jie Wang Conference proceedings 2009 Spring

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0302-9743 WASA 2009, held in Boston, MA, USA, in August 2009. The 36 revised full papers presented together with 15 invited papers and 7 workshop papers were carefully reviewed and selected from numerous submissions. Providing a forum for researchers and practitioners worldwide, the papers address current re
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A Comparison of Block-Based and Clip-Based Cooperative Caching Techniques for Streaming Media in Wirle cache space at the granularity of either a clip or individual blocks of a clip. The primary contribution of this paper is to evaluate these two alternatives using realistic specifications of a wireless home network, identifying factors that enable one to outperform the other.
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Energy Consumption of Fair-Access in Sensor Networks with Linear and Selected Grid Topologiesg which the base station successfully receives at least one original data frame from each sensor node. The unique aspect of this study is that the lower bounds on energy consumption hold for any MAC protocol. Furthermore, we prove that these bounds are tight.
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Lookahead Expansion Algorithm for Minimum Power Multicasting in Wireless Ad Hoc Networksimum power sum in addition to the intermediate tree which is not feasible until the end. This lookahead process generates the effective diversification of the solution search space. The computational results strongly support the solid and outstanding performance of SLE owing to the lookahead process.
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Biologically-Inspired Target Recognition in Radar Sensor NetworksFLS) to automatic target detection based on the AC power values from DCT. Simulation results show that our MLE-DCT-FLS and soft-max-DCT-FLS approaches perform very well in the radar sensor network target detection, whereas the existing 2-D construction algorithm doesn’t work in this study.
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Stochastic ,-Coverage in Wireless Sensor Networksond problem, we propose a distributed approach that enables each sensor to run a .. to check whether it is eligible to turn itself .. We find a perfect match between our simulation and analytical results.
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Topology Inference in Wireless Mesh Networksls the logical network topology, then infers the evolutions of the local and global network topologies. We have conducted extensive simulation to verify the performance of our approach in terms of “completeness” and “accuracy”. The results indicate that our approach is very effective in topology inference.
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