Energy-efficient optimization for multi-rate query in wireless sensor networks

Multi-rate query in wireless sensor networks is that multiple sink nodes query the same data source with different frequencies. Because the data are requested at different frequencies, how to share the bandwidth for transmission becomes a new problem. Based on the data correlation between different data series, this paper proposes an energy-efficient optimization scheme, in which we can broadcast consolidated data series along the shared path and reconstruct the requested data series from these consolidated data series. Theoretical analysis results and simulation results indicate that we can save the energy consumption with a reasonable level of tolerance of the average relative error.