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The design of this Baseline study matching scalability with fixed 21-node cluster was created to test the limits of scalability of a fixed cluster resource.
To improve the bottleneck phenomenon, strategies of uneven fixed cluster and Mixed routing based on the features of long roadway are proposed.
Figure 8 Execution time for several queries using fixed cluster nodes and 1 mile radius area.
We assume that our cluster formation procedure is static, i.e. the sensors are stationery and are all assigned to a fixed cluster at the initiation of the network that remains unchanged over the entire lifetime of the sensor network.
In part (b) we plot the average error rate (averaged over 50 trials) at fixed cluster separation (| mu_{1} - mu_{0} |_{2} / sigma= 2) for various values of the time interval Δt for which each data sample is presented to the circuit as well as the strength of the training feedback α.
For example, using a fixed cluster cutoff height of 0.1 for biological process results in 36 groups, whereas using a cutoff height of 0.001 results in 222 groups.
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As seen, rotating clustering outperforms fixed clustering for both scheduling metrics.
In centroid models, vectors are assigned usually to a number k of fixed clusters.
Having static clusters, however, is sub-optimal as fixed clusters create cluster edges, instead of cell edges, in which the degradation could in fact become more pronounced.
As seen, while rotating clustering still outperforms fixed clustering in terms of sum rate, faster rotation (i.e., smaller T cl ) yields diminishing gains.
Note that in fixed clustering, and in the patterns in Fig. 2a, c, and e, two parts of the cluster come from the same site.
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