Analysis of Time Series Prediction in Wireless Sensor Networks' DPM

Jing Zhao; Jin Zhang; Chi Min Zhou; Cheng Wang

doi:10.4028/www.scientific.net/AMR.791-793.1782

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 791-793Analysis of Time Series Prediction in Wireless...

Analysis of Time Series Prediction in Wireless Sensor Networks' DPM

Abstract:

Because of the battery replacement confined by physical conditions, the battery energy limit of the sensor nodes becomes one of the most critical constraints in the design of the entire sensor network , which directly determines the network life. The basic idea is to close sensor nodes within the device when it is not needed, and awaken them if necessary so that the sensor can reduce overall energy consumption. This paper compares the autoregressive model and moving average model in time series analysis. Simulation results show that after dynamic power adjustment, it can reduce energy consumption, extend the entire life cycle of wireless sensor network..

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Periodical:

Advanced Materials Research (Volumes 791-793)

Pages:

1782-1785

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.791-793.1782

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Online since:

September 2013

Authors:

Jing Zhao, Jin Zhang, Chi Min Zhou, Cheng Wang

Keywords:

Dynamic Power Management, Time Series Prediction, Wireless Sensor Network (WSN)

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References

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