dc.contributorUniversidade Federal de Santa Catarina (UFSC)
dc.contributorUniversidade Estadual Paulista (UNESP)
dc.contributorUniversidade Do Porto
dc.date.accessioned2022-04-28T18:58:57Z
dc.date.accessioned2022-12-20T00:54:04Z
dc.date.available2022-04-28T18:58:57Z
dc.date.available2022-12-20T00:54:04Z
dc.date.created2022-04-28T18:58:57Z
dc.date.issued2013-12-24
dc.identifierIEEE International Conference on Emerging Technologies and Factory Automation, ETFA.
dc.identifier1946-0740
dc.identifier1946-0759
dc.identifierhttp://hdl.handle.net/11449/219997
dc.identifier10.1109/ETFA.2013.6648061
dc.identifier2-s2.0-84890713121
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5400126
dc.description.abstractIn several monitoring applications, such as those that can be found in industrial factory floor, it may be necessary to obtain an uniform sensing coverage, providing as much as possible the same coverage degree for the entire network area. The IEEE 802.15.4 has become an important standard in wireless sensor networks. However, the use of cluster-tree topology in these networks hampers a fair and uniform coverage in the sensing area. Clusters more distant from the base station are eventually adversely affected, with messages from its sensors delayed and discarded. In this paper, we propose a framework, entitled GLHOVE, whose goal is to make a trade-off between a minimum and uniform coverage area and the energy consumption of the network. The simulation results show an increase up to 20% of the fairness metric (w.r.t. messages received by base station). © 2013 IEEE.
dc.languageeng
dc.relationIEEE International Conference on Emerging Technologies and Factory Automation, ETFA
dc.sourceScopus
dc.titleGLHOVE: A framework for uniform coverage monitoring using cluster-tree wireless sensor networks
dc.typeActas de congresos


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