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Initial simulation results shows that the cluster sensor network provides better efficiency than hierarchical and committee sensor networks.
The protocol [24] presents an enhanced architecture to SPMIPv6 named, cluster sensor PMIPv6 (CSPMIPv6) architecture.
So how to cluster sensor nodes cooperatively and achieve an optimal number of clusters in a big data WSN is an open issue.
More specifically, Heinzelman et al. [9] proposed low-energy adaptive clustering hierarchy (LEACH) to cluster sensor nodes and let the cluster head to aggregate data.
However, via intricate regulatory circuits involving the Fur iron metalloregulatory protein, the IscR Fe S cluster sensor, the OxyR hydrogen peroxide sensor, and the Fur-regulated small RNA rhyB, the Isc system is downregulated under stress while the level of Suf expression increases to allow it to play a more critical role in maintaining Fe S cluster assembly until the stress is removed.
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Afterwards, we use the k-means clustering algorithm to cluster sensors.
In a cluster, sensors receive the signals backscattered by targets in the presence of interference (e.g., clutter, jamming, interference between radar sensors) and noise.
Moreover, note that the case (40-8-8-8) outperforms the case (32-8-8-8-8), sensorsven though more sensors are competing for the channel (in the largest cluster), sensors have more time to access the channel (i.e., instead of 0).
The General sink node sends a report to the Manager sink node informing it with the descriptive state of its WSN cluster sensors (whether it is in sleep mode or active mode).
Also, resourced devices (multi-processing hubs) realize heavy computations and aggregation of data reported by their cluster sensors, reducing by the way the energy consumption resulting from relaying redundant data.
Clustering sensor nodes is an effective and efficient technique for achieving all the requirement.
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