a new method for clustering wireless sensor networks to improve the energy consumption

clustering is an effective approach for managing nodes in wireless sensor network (wsn). a new method of clustering mechanism with using binary gravitational search algorithm (bgsa) in wsn, is proposed in this paper to improve the energy consumption of the sensor nodes.reducing the energy consumption of sensors in wsnsis the objective of this paper that is through selecting thesub optimum sensors as cluster heads (chs) to eliminate the number of transmissions and subsequently to attain more network lifetime. clustering mechanism is consist of two phases: ch selection and cluster formation. one of the major problem affecting energy consumption in wsn is cluster head selection. proposed method is used for selecting suboptimum cluster head nodes. however, selecting chs is not easy subject, in this paper this issue will be discussed based on the residual energy or distance from base station (bs) or both of them with considering bscoordinate by bgsa algorithm. simulation results show that if the bs is not very far from the network area, considering distance and residual energy for selecting chs by proposed method can be efficient for reducing energy consumption and prolonging lifetime.