| Full text | |
| Author(s): |
Villas, Leandro A.
[1, 2, 3]
;
Boukerche, Azzedine
[2]
;
Guidoni, Daniel L.
[4]
;
de Oliveira, Horacio A. B. F.
[5]
;
de Araujo, Regina Borges
[3]
;
Loureiro, Antonio A. F.
[1]
Total Authors: 6
|
| Affiliation: | [1] Univ Fed Minas Gerais, UWL Res Lab, Belo Horizonte, MG - Brazil
[2] Univ Ottawa, Paradise Res Lab SITE, Ottawa, ON - Canada
[3] Univ Fed Sao Carlos, WINDIS Res Lab, BR-13560 Sao Carlos, SP - Brazil
[4] Univ Fed Sao Joao del Rei, Dept Comp Sci, Sao Joao Del Rei - Brazil
[5] Univ Fed Amazonas, LAMP Res Lab, Manaus, Amazonas - Brazil
Total Affiliations: 5
|
| Document type: | Journal article |
| Source: | COMPUTER COMMUNICATIONS; v. 36, n. 9, p. 1054-1066, MAY 15 2013. |
| Web of Science Citations: | 28 |
| Abstract | |
Large scale dense wireless sensor networks (WSNs) will be increasingly deployed in different classes of applications for accurate monitoring. Due to their high density of nodes, it is very likely that information that is both spatially and temporally correlated can be detected by several nodes what can be exploited to save energy, a key aspect on these networks. Furthermore, it is important to take advantage of these correlations to decrease communication and data exchange. However, current proposals usually result in high delays and outdated data arriving at the sink node. In this work, we go further and propose a new algorithm, called Efficient Data Collection Aware of Spatio-Temporal Correlation (EAST), which uses shortest routes for forwarding the gathered data toward the sink node and fully exploit both spatial and temporal correlations to perform near real-time data collection in WSNs. Simulation results clearly indicate that our proposal can sense an event 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 reported in the literature. Crown Copyright (C) 2012 Published by Elsevier B.V. All rights reserved. (AU) | |
| FAPESP's process: | 08/57870-9 - Critical Embedded Systems Institute |
| Grantee: | Jose Carlos Maldonado |
| Support Opportunities: | Research Projects - Thematic Grants |