Learning Sensor Data Characteristics in Unknown Environments

Tatiana  Bokareva; Nirupama  Bulusu; Sanjay  Jha

3rd Annual International ICST Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services

Research Article

Learning Sensor Data Characteristics in Unknown Environments

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1109/MOBIQ.2006.340384,
    author={ Tatiana  Bokareva and  Nirupama  Bulusu and Sanjay  Jha},
    title={Learning Sensor Data Characteristics in Unknown Environments},
    proceedings={3rd Annual International ICST Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services},
    publisher={IEEE},
    proceedings_a={MOBIQUITOUS},
    year={2007},
    month={4},
    keywords={},
    doi={10.1109/MOBIQ.2006.340384}
}

Tatiana Bokareva
Nirupama Bulusu
Sanjay Jha
Year: 2007
Learning Sensor Data Characteristics in Unknown Environments
MOBIQUITOUS
IEEE
DOI: 10.1109/MOBIQ.2006.340384

Tatiana Bokareva¹, Nirupama Bulusu¹, Sanjay Jha¹

1: New South Wales Univ., NSW.

Abstract

Ad hoc wireless sensor networks derive much of their promise from their potential for autonomously monitoring remote or physically inaccessible locations. As we begin to deploy sensor networks in real world applications, concerns are being raised about the fidelity and integrity of the sensor network data. In this paper, we motivate and propose an online algorithm that leverages competitive learning neural network for characterization of a dynamic, unknown environment. Based on the proposed characterization sensor networks can autonomously construct multimodal views of their environments and derive the conditions for verifying data integrity over time

Published: 2007-04-02
Publisher: IEEE

: http://dx.doi.org/10.1109/MOBIQ.2006.340384