Data driven transmission power control for wireless sensor networks

Transmission Power Control (TPC) is employed in the sensor nodes with the main objective of minimizing transmission power consumption. However, major drawbacks with well-known TPC are time consuming and energy inefficient initialization phase. Moreover, they employ Received Signal Strength Indicator (RSSI), Link Quality Indicator (LQI) metrics for initialization phase that are sensitive to environmental conditions and hence are not appropriate parameters to adjust the power. To overcome these shortcomings of existing TPC, we propose a novel TPC algorithm dubbed as Data-Driven Transmission Power Control (DA-TPC) that has shorter initialization phase and uses priority of data as the only metric to adjust the power level. The two main aims of this paper are to minimize power consumption during initialization phase and to show how by utilizing priority of data as a sole metric for power adaptation improves reliability and decreases not only latency but also overall energy consumption while transmitting data packets.