Time-space correlation for real-time, accurate, and energy-aware data reporting in wireless sensor networks

Authors:
Leandro Villas;Azzedine Boukerche;Daniel L. Guidoni;Horacio A.B.F. Oliveira;Regina B. Araujo;Antonio A.F. Loureiro
Affiliations:
Federal University of Minas Gerais, Belo Horizonte, Brazil;University of Ottawa, Ottawa, Canada;Federal University of Minas Gerais, Belo Horizonte, Brazil;Federal University of Amazonas,, Manaus, Brazil;Federal University of Sao Carlos, São Carlos, Brazil;Federal University of Minas Gerais, Belo Horizonte, Brazil
Venue:
Proceedings of the 14th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
Year:
2011

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Abstract

One of the main applications in Wireless Sensor Networks (WSNs) is the accurate monitoring of extensive areas. However, due to the high density of nodes, redundant and correlated data are usually sensed by nearby nodes over time. Since saving energy is a key aspect of these networks, it is important to take advantage of these correlations to decrease communication and data exchange. However, current proposals usually results in high delays and outdated data arriving at the sink node. In this work, we go further and fully exploit both spatial and temporal correlations to perform near real-time data collection in WSNs. Also, in our proposal, called Efficient Data Collection Aware of Space-Time Correlation (EAST), obtained results clearly indicate that an event can be sensed with a high accuracy of more than 99.7% while still saving the residual energy of the nodes in more than 14 times when compared to the accurate data collection strategy.