Boundary static clustering target tracking in wirless sensor networks

WSNs have been impressive progress in recent years and target tracking is one of the most important applications in wireless sensor networks. Clustering is one of the efficient methods for target tracking application that has ability of scalability and flexibility. In wireless sensor networks with limited recourses, energy is a challenging problem. Thus, energy is very important factor and also the other important factor is tracking accuracy in target tracking applications, thus for designing algorithm the trade-off between energy and tracking accuracy should be considered. In this research we propose an energy efficient cluster based target tracking method by using boundary static clusters (BCTT). The simulation results achieved using the Castalia simulator shows that, BCTT has 48% decreases in average energy consumption compared with hybrid method (HCTT, HCMTT).