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The first [16] proposes a novel cluster head selection criteria where cluster heads are selected based on their relative speed and distance from vehicles, within their neighborhood.
We have proposed two cluster head selection criteria.
While many researchers have investigated cluster head selection, this paper investigates the cluster formation.
The algorithm we propose optimizes the clustering and cluster head selection of ZEEP by using a genetic fuzzy system.
Second, we design two optimization strategies under the communication constraint, namely the optimal sensor selection and cluster head selection.
These information later used for cluster head selection.
Cluster head selection plays an important role in clustering algorithms.
Similar(4)
Znaidi et al. [8] proposed a cluster head selection-based hierarchical distributed algorithm that detects clone nodes using a Bloom filter mechanism that includes the network reactions.
Through improving the threshold for cluster-head selection, CEC achieved more effective results than the other baseline protocols.
Cluster division and cluster-head selection are predefined during the network implementation period.
The cluster-head selection is determined in a distributed autonomous fashion.
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