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Energy consumption has been a key concern of data gathering in wireless sensor networks.&#13; Previous research works show that modulation scaling is an efficient technique to reduce energy&#13; consumption. However, such technique will also impact on both packet delivery latency and packet loss,&#13; therefore, may result in adverse effects on the qualities of applications. In this study, the problem of&#13; modulation scaling and energy optimization is discussed. A mathematical model is proposed to analyze&#13; the impact of modulation scaling on the overall energy consumption, end-to-end mean delivery latency&#13; and packet loss. A centralized optimal management mechanism is developed based on the model, which&#13; adaptively adjusts the modulation levels to minimize energy consumption while ensuring the QoS for&#13; data gathering. Experimental results show that the management mechanism saves significant energy in&#13; all the investigated scenarios. Some valuable results are also observed in the experiments

An Adaptive Modulation Scaling Scheme for Quality of Services Ensurance in Wireless Sensor Netwoks