An Energy Efficient Sensor Data Convergence Model Adaptable for Cold Chain Monitoring

Abstract

By way of reducing the active time of sensor nodes, this paper proposed an energy efficient data convergence model which is adaptable for cold chain application. The model runs on hierarchical wireless sensor network architecture, which aims at finding an optimal sleep/wake up schedule that can coordinate the data sending time slot for both cluster nodes and routing nodes. It can avoid data retransmission caused by sending conflict. Especially, in this model, we work on preventing the energy consumed by unnecessary broadcast listening between adjacent clusters. Simulation results show our model runs with a lower active time compared with the similar scheme.