Paper Info
Title
Context-Aware Estimation Approach Based on Participatory Sensing.
Abstract
In participatory sensing applications, the inaccuracy and conflict of the reported data, commonly caused by the error rate of participants or the differences of observation context, have received more and more attention. Estimating the real status of facilities according to observations becomes a big challenge for participatory sensing. Towards this end, we propose a context-aware estimation approach based on participatory sensing in this paper. We first model the effects of observation context, and then propose an iterative method to infer the error rate of participants and estimate the real status with high precision. Our method is verified using a public facilities monitoring application in our campus, and tested via extensive simulations. The results demonstrate that the proposed method outperforms recent popular three-estimates algorithm and OtO EM algorithm.
Year
DOI
Venue
2015
10.1109/GLOCOM.2015.7417626
IEEE Global Communications Conference
Keywords
Field
DocType
participatory sensing,context,estimation,simulation
Data mining,Iterative method,Computer science,Expectation–maximization algorithm,Word error rate,Server,Participatory sensing
Conference
ISSN
Citations 
PageRank 
2334-0983
0
0.34
References 
Authors
7
4
Name
Order
Citations
PageRank
Yingying Guo111.38
Sun, Y.222.78
Tin Yu Wu35212.06
Mohammad S. Obaidat42190315.70