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Chain structure Bluetooth scatternet topology formation algorithm and performance simulations
Published 2006-01-01“…A novel chain structure Bluetooth scatternet algorithm for topology formation was presented:all Bluetooth nodes turn into INQUIRY or INQUIRY SCAN states with identical probability,0.5,then set point-to-point connections up simultaneously.As a result,as large as possible numbers of temporary piconets were made up,and furthermore,some larger piconets and groups composed of several piconets were made up through varieties of merging and recomposing repeatedly.Finally,a chain structure scatternet bearing only one group were formed by operating the algorithm after several times.Simulations and performance analysis indicate that the scatternet formed by this algorithm has excellent characteristics:comparably less number of piconets,less average number of roles every node and less number of maximum degree of nodes,shorter networking establishment time,easier to maintain topology dynamically and dispensable for all nodes to be in communication range,etc.The algorithm can be used for Bluetooth scatternet topology formation.…”
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1683
Dynamics of the Rumor-Spreading Model with Control Mechanism in Complex Network
Published 2022-01-01Get full text
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1684
A note on orthogonal matching pursuit under restricted isometry property
Published 2022-05-01Get full text
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1686
Forecasting the COVID-19 Diffusion in Italy and the Related Occupancy of Intensive Care Units
Published 2021-01-01Get full text
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1687
Reverberation multi-source localization algorithm based on compressed sensing with dual microphones
Published 2019-01-01“…In traditional multi-source localization field,it is necessary to guarantee that the number of microphone is more than the number of source.To overcome this constraint,a dual-microphone multi-source localization algorithm based on CS was proposed,where the number of sound source localized successfully was more than 3.The multi-source localization was regarded as the block sparse signal reconstruction in this algorithm,and the full room impulse responses normalized were exploited to construct the compressed observation matrix in frequency domain.In reconstructed block sparse signal,the positions of non-zero blocks were corresponded to the positions of sound sources in space.The simulation shows that compared with the SRP-sub algorithm,in reverberation time 0.6s with dual-microphone,the proposed multi-source localization algorithm based on compressed sensing has higher capability which can reach 80% success rate by using 40 frequency points to localize 3 sound sources.…”
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Gust Load Alleviation with Robust Control for a Flexible Wing
Published 2016-01-01Get full text
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1690
THE IMPACT OF NETWORK TECHNOLOGIES ON THE TRANSFORMATION OF RUSSIAN HIGHER EDUCATION
Published 2017-04-01Get full text
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DOA estimation based on geometric sequence decomposition and sparse reconstruction
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Project on deployment of active sonobuoys for anti-submarine area blockade
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1695
Velocity field and dynamics behavior of a boiling droplet during impact onto a molten phase change material
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Burnout Syndrome among Healthcare Workers in Lithuania as a Former Soviet Country
Published 2024-03-01Get full text
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Road traffic crashes trends of severity and injuries in Osun state, Nigeria
Published 2024-08-01Get full text
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