Clustering is an unsupervised learning technique for grouping similar data points according to some measure of similarity that maximizes the intercluster
similarity while minimizing the intracluster similarity .
In this paper an approach Intercluster
Ant Colony Optimization algorithm (IC-ACO) has been proposed that backs upon ACO algorithm for routing of data packets in wireless sensor networks.
In general, the original ConnIndex balances the overall cluster compactness and separation by combining the intercluster
connectivity [C.sub.inter] [member of] [0,1] and the intracluster connectivity [C.sub.intra] [member of] [0,1] :
The former response is due to a single cluster relaxation, whereas the intercluster
exchange occurs at long time scales, in which charges are transported over limited distances.
communication feature is incorporated to expand the network's coverage area.
However in the steady-state phase, data of the sensor nodes are transferred to sink via intracluster and intercluster
communication in each round.
This scheme results in intercluster
interference mitigation and maximization of the sum utility function of all MSs in the cluster, under per-sector power constraints.
To elaborate the nonuniform traffic, we partition the transmission into two parts: intracluster transmission and intercluster
Therefore, we wish to find the best C in some range, obtain cluster partitions by considering compactness and intercluster
separation, and reduce the sensitivity to initial values.
and intracluster communications are one-hop communication.
Gonzalez, "Clustering to minimize the maximum intercluster
distance," Theoretical Computer Science, vol.