Estimated Replication of Data in Wireless Sensor Networks

Qutub Bakhtiar; Niki Pissinou; Kia Makki

3rd International ICST Conference on COMmunication System SoftWAre and MiddlewaRE

Research Article

Estimated Replication of Data in Wireless Sensor Networks

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1109/COMSWA.2008.4554389,
    author={Qutub Bakhtiar and Niki Pissinou and Kia Makki},
    title={Estimated Replication of Data in Wireless Sensor Networks},
    proceedings={3rd International ICST Conference on COMmunication System SoftWAre and MiddlewaRE},
    publisher={IEEE},
    proceedings_a={COMSWARE},
    year={2008},
    month={6},
    keywords={},
    doi={10.1109/COMSWA.2008.4554389}
}

Qutub Bakhtiar
Niki Pissinou
Kia Makki
Year: 2008
Estimated Replication of Data in Wireless Sensor Networks
COMSWARE
IEEE
DOI: 10.1109/COMSWA.2008.4554389

Qutub Bakhtiar¹^,*, Niki Pissinou¹^,*, Kia Makki¹^,*

1: Telecommunication and IT Institute Florida International University Miami, Florida 33174

*Contact email: Qutub.Bakhtiar@fiu.edu, pissinou@fiu.edu, makkik@fiu.edu

Abstract

A wireless sensor network (WSN) can be envisaged as a distributed system where the sensor nodes (clients) continuously update the sensed information to the sink (server). In many real-time environments exact replica of data is not required by the end application to deduce the result. Data estimation/prediction techniques at the sink can be used to infer the desired output. The proposed design is an improvement of the model as proposed by Santini which uses the traditional LMS algorithm to predict the desired output at the sink. In this work we solve the synchronization of mode problem in the Santini’s model by effectively utilizing the the principles of adaptive filter theory. The focus of this paper is to make better use of communication resources in data replication platforms than approaches based on periodic refreshing.

Published: 2008-06-27
Publisher: IEEE
Modified: 2010-05-16

: http://dx.doi.org/10.1109/COMSWA.2008.4554389