Cluster Density of Dependent Thinning Distributed Clustering Class of Algorithms in Ad Hoc Deployed Wireless Networks

Table 2

Applicability of the proposed technique equally among HEED, ANTCLUST, and EDCR algorithms.

		Average number of clusters, 𝐸[𝑘]^𝐴
Case	𝐸[𝑘]	(AV ± SD)
		Beginning	Middle	End	Overall
H1	20	20.4±0.5	19.3±1.2	18.8±1.1	19.5±1.2
A1	20	19.6±0.9	19.4±1.8	18.8±1.5	19.3±1.4
E1	20	19.6±1.5	20.3±0.9	20.4±0.8	20.1±1.1
H2	30	29.1±1.6	28.3±0.8	29.9±0.8	29.1±1.3
A2	30	29.7±1.4	30.1±1.6	28.4±2.0	29.4±1.8
E2	30	29.3±2.0	30.3±1.0	30.2±1.6	29.9±1.6
H3	20	18.9±1.9	20.0±2.2	19.5±1.1	19.5±1.8
A3	20	19.3±1.1	19.6±0.9	18.3±1.7	19.1±1.4
E3	20	19.1±0.7	19.7±1.4	17.9±1.2	18.9±1.3