… In this paper, a Fuzzy Logic based Clustering Algorithm for … fuzzy logic for CHs selection
and clusters formation processes by using residual energy and closeness to the sink as fuzzy …

… cluster validity indices after introducing the fuzzy clustering. In Section 3, we propose two
cluster … in fuzzy logic rather than belonging to just one cluster. A data object near the centre of a …

… of highly dense clusters which resulted in a large variation of cluster size and thus suffers
from … distributed clustering algorithm using fuzzy logic for the formation of uniform size clusters …

… We present a Fuzzy Logic approach for the cluster formation that uses the … For cluster
formation, each non-CH node applies the three descriptors for each CH using the Mamdani Fuzzy …

… But in the unequal clustering, cluster size near the base … non cluster head nodes with the
cluster head. In this work, once the final cluster head is elected, using fuzzy logic the non cluster …

… In this paper, a fuzzy-logic-based clustering approach with an extension to the energy …
This unequal clustering approach is based on the idea of decreasing the cluster sizes when …

… In this method, both CH selection and cluster size computation are performed by using
fuzzy logic. It uses residual energy, node degree, and distance to BS as input variables to …

… These criteria ensure the quality of clustering. In Section 5, we explain how to select the
CH using a fuzzy logic method. Finally, the simulation results are presented in Section 6. …

… Fuzzy logic has also been used for event detection through WSNs. The application of fuzzy
logic in clustering … In first iteration, the clusters are formed with size equal to or greater than …

… a cluster member stays as a member of a cluster. 3) The average cluster size, which is the
total number of vehicles that became cluster members divided by the total number of formed …