An Adaptive Sampling Algorithm for Effective Energy Management in Wireless Sensor Networks With Energy-Hungry Sensors

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Executive Summary

Energy conservation techniques for wireless sensor networks generally assume that data acquisition and processing have energy consumption significantly lower than that of communication. Unfortunately, this assumption does not hold in a number of practical applications, where sensors may consume even more energy than the radio. In this paper, effective energy management should include policies for an efficient utilization of the sensors, which become one of the main components affecting the network lifetime. In this paper, the authors propose an adaptive sampling algorithm that estimates online the optimal sampling frequencies for sensors. This approach, which requires the design of adaptive measurement systems, minimizes the energy consumption of the sensors and, incidentally, also that of the radio, while maintaining a very high accuracy of collected data.

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