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

Table 4

Comparison of expected and actual number of clusters of EDCR algorithm.

		Average number of clusters, 𝐸[𝑘]^𝐴
Case	𝐸[𝑘]	(AV ± SD)
		Beginning	Middle	End	Overall
1	20	19.6±1.5	20.3±0.9	20.4±0.8	20.1±1.1
2	30	30.2±1.6	29.5±1.1	30.7±1.3	30.1±1.4
3	30	29.3±2.0	30.3±1.0	30.2±1.6	29.9±1.6
4	40	39.8±2.0	39.6±1.1	41.6±1.1	40.3±1.7
5	40	39.2±1.9	41.0±0.9	40.8±1.4	40.3±1.6
6	30	30.9±1.6	31.1±1.7	32.1±1.2	31.3±1.5
7	30	30.4±1.8	30.9±1.6	31.0±1.7	30.8±1.7
8	30	29.8±1.5	30.3±1.1	30.5±1.5	30.2±1.4
9	30	28.8±1.2	28.3±1.7	28.5±1.5	28.5±1.4
10	30	27.3±1.4	28.0±2.8	28.3±1.4	27.8±2.0
11	10	9.8±0.9	11.0±0.8	10.5±0.9	10.4±1.0
12	40	38.2±1.6	39.6±1.5	39.5±1.7	39.1±1.7
13	20	19.1±0.7	19.7±1.4	17.9±1.2	18.9±1.3
14	20	20.5±1.5	20.7±0.9	18.9±1.6	20.0±1.5
15	30	30.2±1.1	33.1±1.1	32.5±1.0	31.9±1.6