Energy Efficient Adaptive Clustering for Heterogeneous Sensor Networks With Power Control
Wireless sensor networks are energy constraint battery powered sensing, computing and communication infrastructure. Sensor nodes are randomly deployed and organized as clusters, and each node is responsible for transmitting the data to its cluster head. Most of the existing sensor networks focus on homogeneous and most of the existing clustering algorithms can be applied only for homogeneous sensor networks in which the cluster heads are changed periodically. In this paper, to reduce power consumption of Sensor Networks, the authors have investigated Hierarchical Heterogeneous Sensor networks using Energy Efficient Adaptive Clustering Algorithm (EEACA). The simulation results show that the consumed energy is less in the case of EEACA when compared AODV.