Aiming at unbalanced problem of load energy of WSNs

a cluster algorithm based on the genetic fuzzy cluster algorithm is presented

in order to balance the nodes’energy consumption and maximize the network’s lifetime.The algorithm optimizes the fuzzy cluster algorithm with genetic algorithm to improve the sensitivity of the initial value and form the optimal clustering of node position.Simulation results show that

no matter how sensor nodes are distributed

compared with FCM

this algorithm can converge to the optimal objective function values and get the same clustering results every time.Its clustering effect is better than FCM.