Paper Info
Title
Data fusion techniques for auto calibration in wireless sensor networks.
Abstract
Wireless sensor networks are deployed for the purpose of sensing and monitoring an area of interest. Sensor measurements in sensor networks usually suffer from both random errors (noise) and systematic errors (drift and bias). Even when the sensors are property calibrated at the time of deployment, they develop errors in their readings leading to erroneous inferences to be made by the network. In this paper we present a novel algorithm for detecting and correcting sensor measurement errors by utilising the spatio-temporal correlation among the neighbouring sensors. The algorithm is designed for sparsely deployed wireless sensor networks. It can follow and correct both slowly and suddenly changing sensor measurements. As a result, the algorithm can adapt for under sampling the sensor measurements. Therefore, it allows for reducing the communication between sensors to maintain the calibration which leads to reducing the energy consumed from the batteries. The algorithm runs recursively and is totally decentralized. We demonstrate using real data obtained from the Intel Berkeley Laboratory that our algorithm successfully suppresses errors developed in sensors and thereby prolongs the effective lifetime of the network.
Year
Venue
Keywords
2009
FUSION: 2009 12TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION, VOLS 1-4
wireless sensor networks,data fusion,mathematical model,calibration,sensor network,algorithm design and analysis,measurement uncertainty,random errors,measurement error,time measurement,sensor fusion,wireless sensor network,noise measurement,noise,temperature measurement,sampling methods,recursive algorithm,systematic error,systematic errors,measurement errors
Field
DocType
Citations 
Key distribution in wireless sensor networks,Algorithm design,Soft sensor,Computer science,Visual sensor network,Brooks–Iyengar algorithm,Real-time computing,Sensor fusion,Mobile wireless sensor network,Wireless sensor network
Conference
7
PageRank 
References 
Authors
0.50
6
3
Name
Order
Citations
PageRank
Maen Takruri1704.91
Subhash Challa225224.96
Ramah Yunis370.50