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文件名称:INDER-BRO-DAV
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By exploiting the basic principles of particle swarm optimization (PSO)
and the information of practical node positioning applications, TLP searches out the optimal localization results on the
basis of the distance anchor nodes to unknown nodes. Compared to the normal schemes, such as least mean square
algorithm (LMS), the simulation results reveal that the proposed protocol-By exploiting the basic principles of particle swarm optimization (PSO)
and the information of practical node positioning applications, TLP searches out the optimal localization results on the
basis of the distance anchor nodes to unknown nodes. Compared to the normal schemes, such as least mean square
algorithm (LMS), the simulation results reveal that the proposed protocol
and the information of practical node positioning applications, TLP searches out the optimal localization results on the
basis of the distance anchor nodes to unknown nodes. Compared to the normal schemes, such as least mean square
algorithm (LMS), the simulation results reveal that the proposed protocol-By exploiting the basic principles of particle swarm optimization (PSO)
and the information of practical node positioning applications, TLP searches out the optimal localization results on the
basis of the distance anchor nodes to unknown nodes. Compared to the normal schemes, such as least mean square
algorithm (LMS), the simulation results reveal that the proposed protocol
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下载文件列表
INDER BRO DAV/GOODBUT TOUGH.pdf
INDER BRO DAV/SPIN.2014.6776932.pdf
INDER BRO DAV/SPIN.2014.6776942.pdf
INDER BRO DAV/SPIN.2014.6776932.pdf
INDER BRO DAV/SPIN.2014.6776942.pdf
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