… Based on previous work, for cluster head selection … clustering preprocessing and particle
swarm optimization. More specifically, first, fuzzy clustering algorithm is used to initial clustering …

… Through the decision of fitness function, all particles need to be optimized, speed should be
determined for each particle through the direction of their flight as well as distance, then the …

In this paper, an optimized cluster head (CH) selection method based on genetic algorithm (NCOGA)
is proposed which uses the adaptive crossover and binary tournament selection …

… is based on particle swarm optimization (PSO) called … -cluster distance, sink distance and
residual energy of sensor nodes. We also present cluster formation in which non-cluster head …

… The cluster head is selected in such a way that it is spatially closer … the cluster head optimally.
In this paper firefly with cyclic randomization is proposed for selecting the best cluster head…

… In this paper, we have proposed the Dragon Fly algorithm with multi-attribute decision-… for
cluster head selection in the paper. We have used multi-objective algorithms for cluster head …

… In this paper, a cluster head algorithm based on Levy flight butterfly optimization algorithm
is proposed. The residual energy of ordinary nodes and the distance between nodes and …

… missions with flight ability while exposing limited flight time due … Network (WSN) environment,
optimizing their flight paths in large … a method for optimization of Multi-UAV flight path. We …

… the intra-cluster average distance among sensor nodes and their cluster head and in addition
… Once the cluster is structured, the non-cluster head nodes transmit information towards the …

… Clustering Algorithm (IWCA). The NQCA algorithm separates the total network into number
of clusters and the Cluster Head (CH) for each cluster is … Moreover, the clustering quality is …