NDLI: Dynamic power management of wireless sensor networks based on grey model

Content Provider	IEEE Xplore Digital Library
Author	Wei Hailong Shen Yan Wei Tuming
Copyright Year	2010
Description	Author affiliation: School of Mechatronics Engineering University of Electronic Science and Technology of China, Chendu, Sichuan, China (Wei Hailong; Shen Yan; Wei Tuming)
Abstract	The energy constraint of sensor nodes is the key factor that restrict the life of wireless sensor networks. So an effective method of dynamic power management (DPM) that based on grey model is proposed to make economical use of energy. Historical data collected of sensor node is used to predict the future value in this method, while the parameters are adjusted automatically in the process of prediction to realize the adaptive prediction. Compared with the algorithm of wavelet and AR, the accuracy of prediction is improved. The basic idea is to decide the working pattern of the entire sensor networks by the node of Sink, and in the next period sensor nodes do not send back data if their observed values are not out of threshold. To reduce energy consumption of the entire sensor networks by shortening the working hours and reducing transmitted messages between the nodes. Theory analysis and experiment result show that the method of this paper is effective not only in the predictive accuracy but also in the energy efficiency.
File Size	382247
File Format	PDF
ISBN	9781424465392
ISSN	21547491
e-ISBN	9781424465422
DOI	10.1109/ICACTE.2010.5579048
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	dynamic power management Wireless sensor networks Accuracy grey model prediction Silicon sensor networks
Content Type	Text
Resource Type	Article

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