An optimization strategy study of wireless sensor networks based on fractal dimension

For the energy limitation of nodes and imbalance energy consuming among nodes, this paper proposes an optimization method of wireless sensor networks based on fractal dimension algorithm for the purpose of reduction of the energy consumption. The nodes in WSN can not be located evenly, and can not move with the monitoring environment changed once be located. Considering the characteristics of WSN, the paper proposed an optimized clustering algorithm accompany with dimension algorithm by calculating the dimension of each cluster to determine the cluster which needs to be adjusted dynamically. If the cluster with high value of dimension, increasing more nodes in this cluster. If the cluster with low value of dimension, reducing more nodes in the cluster. The simulation results show that the optimization improves energy efficiency, prolongs the network lifetime, and balances energy consumption in the sensor network.