2005
DOI: 10.1007/11428848_70
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Fault Tolerant Coverage Model for Sensor Networks

Abstract: We study the coverage problem from the fault tolerance point of view for sensor networks. Fault tolerance is a critical issue for sensors deployed in places where are not easily replaceable, repairable and rechargeable. The failure of one node should not incapacitate the entire network. We propose three 1 fault tolerant models, and we compare them among themselves, and with the minimal coverage model [8].

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Cited by 6 publications
(3 citation statements)
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“…Faults in a WSN include incorrect sensor readings, communication failure caused by environmental or intentional interference, nodes, gateways intrusion, etc. A good model of faults in a sensor network is thus necessary for an effective fault detection process. A three-dimensional validated physical model could optimize the deployments of gas sensors and/or ICs dispensers in the field by ensuring the complete coverage and avoiding “white areas” in which the ICs concentrations are below the threshold. For example, Mihita et al monitored air quality by using mobile sensors carried at a human level (approximately at 1.5 m altitude), detecting NO 2 concentrations 3–5 times higher than those detected by passive-static monitoring tubes placed at 3 m altitude…”
Section: Modeling the Infochemical Concentrationsmentioning
confidence: 99%
“…Faults in a WSN include incorrect sensor readings, communication failure caused by environmental or intentional interference, nodes, gateways intrusion, etc. A good model of faults in a sensor network is thus necessary for an effective fault detection process. A three-dimensional validated physical model could optimize the deployments of gas sensors and/or ICs dispensers in the field by ensuring the complete coverage and avoiding “white areas” in which the ICs concentrations are below the threshold. For example, Mihita et al monitored air quality by using mobile sensors carried at a human level (approximately at 1.5 m altitude), detecting NO 2 concentrations 3–5 times higher than those detected by passive-static monitoring tubes placed at 3 m altitude…”
Section: Modeling the Infochemical Concentrationsmentioning
confidence: 99%
“…Many attempts to achieve good clustering to have been choice CH appropriate and easier [2], [3], [4], [5]. Many ideas have been introduced for clustering that using geometric shape to obtain appropriate cluster [5], most of these design have been raised in two-dimensional (2D) space [5], [6], [7] , But always review space is not at a surface.…”
Section: Introductionmentioning
confidence: 99%
“…Many ideas have been introduced for clustering that using geometric shape to obtain appropriate cluster [5], most of these design have been raised in two-dimensional (2D) space [5], [6], [7] , But always review space is not at a surface. For example review and control forests, 1) may be sensors sit on tree with different height 2) should be considered factors and events that occur among foliage of trees.…”
Section: Introductionmentioning
confidence: 99%