<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>For estimating the missing data of wireless sensor networks, an estimation algorithm called HD method, which can make use of sensoring space-time correlation of the data, was proposed based on mathematical Hermite and DESM statistical models. The algorithm not only can adaptively adjust the time and space weights, but also can accurately estimate the missing or unavailable data. The experimental results show that the algorithm has good stability and relatively high estimation accuracy.</p>
</abstract>

For estimating the missing data of wireless sensor networks, an estimation algorithm called HD method, which can make use of sensoring space-time correlation of the data, was proposed based on mathematical Hermite and DESM statistical models. The algorithm not only can adaptively adjust the time and space weights, but also can accurately estimate the missing or unavailable data. The experimental results show that the algorithm has good stability and relatively high estimation accuracy.

An Estimation Algorithm for Missing Data in Wireless Sensor Networks

International Journal on Smart Sensing and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"An Estimation Algorithm for Missing Data in Wireless Sensor Networks"}

For estimating the missing data of wireless sensor networks, an estimation algorithm called HD method, which can make use of sensoring space-time correlation...

An Estimation Algorithm for Missing Data in Wireless Sensor Networks

Data publikacji: 05 cze 2013

Zakres stron: 1032 - 1053

Otrzymano: 19 wrz 2012

Przyjęty: 07 maj 2013

DOI: https://doi.org/10.21307/ijssis-2017-578

© 2013 Nan Yan et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.