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IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, VOL. 59, NO. 2, FEBRUARY 2010 335 An Adaptive Sampling Algorithm for Effective
 

Summary: IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, VOL. 59, NO. 2, FEBRUARY 2010 335
An Adaptive Sampling Algorithm for Effective
Energy Management in Wireless Sensor Networks
With Energy-Hungry Sensors
Cesare Alippi, Fellow, IEEE, Giuseppe Anastasi, Mario Di Francesco, and Manuel Roveri
Abstract--Energy conservation techniques for wireless sensor
networks generally assume that data acquisition and processing
have energy consumption that is 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 context, effective energy
management should include policies for an efficient utilization
of the sensors, which become one of the main components that
affect the network lifetime. In this paper, we 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 consump-
tion of the sensors and, incidentally, that of the radio while main-
taining a very high accuracy of collected data. As a case study, we
considered a sensor for snow-monitoring applications. Simulation

  

Source: Alippi, Cesare - Dipartimento di Elettronica e Informazione, Politecnico di Milano

 

Collections: Computer Technologies and Information Sciences