An Energy-efficient Clustering Routing Algorithm for Heterogeneous Wireless Sensor Networks

In wireless sensor networks, clustering has the advantages of low energy consumption, simple routing scheme and good scalability, and is widely adopted. How to reduce the energy consumption while prolonging the network lifetime stays the key problem though. In this paper, a Density-based Energy-efficient Clustering Heterogeneous Algorithm (DECHA) is proposed for routing. Following the thoughts of LEACH, the election probability of nodes to become cluster heads is evaluated. With regard to the probability, we have density refer to the position information of a node, and together with its energy capacity serve as primary weighted metrics. Further evaluation is done for a better selection of cluster heads. Simulation results show that total energy consumption is reduced and lifetime of the network is prolonged compared with LEACH.