دانلود مقاله ISI انگلیسی شماره 113823
ترجمه فارسی عنوان مقاله

بهبود زمان هماهنگ سازی در شبکه های حسگر بی سیم با استفاده از استنتاج بیزی

عنوان انگلیسی
Improving time synchronization in Wireless Sensor Networks using Bayesian Inference
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
113823 2017 25 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Journal of Network and Computer Applications, Volume 82, 15 March 2017, Pages 47-55

ترجمه کلمات کلیدی
هماهنگ سازی زمان، استنتاج بیزی، رگرسیون خطی، شبکه های حسگر بی سیم،
کلمات کلیدی انگلیسی
Time synchronization; Bayesian Inference; Linear Regression; Wireless Sensor Networks;
پیش نمایش مقاله
پیش نمایش مقاله  بهبود زمان هماهنگ سازی در شبکه های حسگر بی سیم با استفاده از استنتاج بیزی

چکیده انگلیسی

Wireless Sensor Networks are composed of small autonomous devices known as motes. Usually these motes are power-limited and most energy is wasted through the communication process, thus the synchronization is critical. In this paper we improve the accuracy of time synchronization with Bayesian inference over the linear regression model used in synchronization protocols. Synchronization is generally accomplished using packet exchanges, so the goal is to reduce the number of packets while maintaining perfect synchronization. The constraints are the low-cost hardware components of the motes, in particular their clocks and the power consumption. Long-term synchronization is achieved using Adaptive Time Window Linear Regression algorithms using Least Squares. The method of Least Squares is distribution free, but we can make some feasible assumptions (experimentally validated) to improve these protocols using Bayesian Inference to achieve an improvement of 12% compared with the related work. In particular, using 80 MHz clock frequency in the motes the mean synchronization error is 147 ns. We propose an algorithm to improve the synchronization under these constraints and we test our method in real deployments.