Análise de Sobrevivência na Modelagem do Tempo de Vida de Redes de Sensores sem Fio
Abstract
Wireless sensor networks are resource constrained networks whose processing capabilities, storage and energy are limited. Before its real/physical implantation, a maintenance planning can better estimate the network lifetime. This article discusses how the exponential, Weibull and log-normal models, commonly used in Survival Analysis studies, can better estimate the lifetime of a real sensor network. Here we propose to answer one question open in the literature: how long the network will remain in operation.
References
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Cerpa, A., Member, S., e Estrin, D. (2004). ASCENT: Adaptive Self-Configuring sEnsor Networks Topologies. 3(3):1–14.
Colosimo, E. e Giolo, S. (2006). Análise de sobrevivência aplicada. ABE - Projeto Fisher. Edgard Blücher.
Dietrich, I. e Dressler, F. (2009). On the lifetime of wireless sensor networks. ACM Transactions on Sensor Networks, 5(1):1–39.
Le, Z., Becker, E., Konstantinides, D. G., Ding, C., e Makedon, F. (2010). Modeling reliability for wireless sensor node coverage in assistive testbeds. Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments - PETRA ’10, pp 1.
Park, C. e Lahiri, K. (2005). Battery discharge characteristics of wireless sensor nodes: An experimental analysis. In In Proceedings of the IEEE Conf. on Sensor and Ad-hoc Communications and Networks (SECON.
Published
2015-07-20
How to Cite
HERMETO, Rodrigo; NOBRE, Juvêncio; GOMES, Danielo.
Análise de Sobrevivência na Modelagem do Tempo de Vida de Redes de Sensores sem Fio. In: WORKSHOP ON PERFORMANCE OF COMPUTER AND COMMUNICATION SYSTEMS (WPERFORMANCE), 14. , 2015, Recife.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2015
.
p. 167-171.
ISSN 2595-6167.
DOI: https://doi.org/10.5753/wperformance.2015.10406.
