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A Vehicle ID identification Architecture: A Parallel-Joining WSN Algorithm
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Several remote sensor network (WSN) tasks require sensor information join. This in-processing Join is configured in parallel sensor hub to save battery power and limit the communication cost. Hence, a parallel join system is proposed for sensor networks. The proposed parallel join algorithm organizes in section-situated databases. A novel join method has been proposed for remote WSNs to limit the aggregate communication cost and enhance execution. This approach depends on two procedures; section-situated databases and parallel join algorithm utilized to store sensor information and speed up processing respectively. A segment arranged databases store information table in segmented shrewd. The Parallel-Joining WSN algorithm is effectively feasible for two clear reasons. Firstly, the decisive join conveyed fragments. Secondly, parallel-joining is in the fly processed sensor data. Creatively, a parallel dispersed algorithm has been developed to gain time compared to the single disseminated algorithm.
Title: A Vehicle ID identification Architecture: A Parallel-Joining WSN Algorithm
Description:
Several remote sensor network (WSN) tasks require sensor information join.
This in-processing Join is configured in parallel sensor hub to save battery power and limit the communication cost.
Hence, a parallel join system is proposed for sensor networks.
The proposed parallel join algorithm organizes in section-situated databases.
A novel join method has been proposed for remote WSNs to limit the aggregate communication cost and enhance execution.
This approach depends on two procedures; section-situated databases and parallel join algorithm utilized to store sensor information and speed up processing respectively.
A segment arranged databases store information table in segmented shrewd.
The Parallel-Joining WSN algorithm is effectively feasible for two clear reasons.
Firstly, the decisive join conveyed fragments.
Secondly, parallel-joining is in the fly processed sensor data.
Creatively, a parallel dispersed algorithm has been developed to gain time compared to the single disseminated algorithm.
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