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Localized performance-guided reconfiguration for distributed sensor networks
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DOI：10.1109/SECON.2007.342986.png)
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Sensor networks that can reconfigure to extend their useful operating life while guaranteeing coverage performance are of interest. This paper describes the use of localized Performance-Guided Reconfiguration (PGR) for reconfiguring a distributed sensor network in a target localization scenario using binary sensor data. If a sensor in a cluster becomes unavailable due to a loss of battery power or other reasons, PGR activates redundant sensors as necessary to allow the network to achieve the desired coverage performance. For a simple demonstration of localized PGR, we compare the performance of a multicluster network using localized PGR, a nearest-neighbor reconfiguration approach, and an approach where no reconfiguration of the field is done. Without PGR, coverage performance degraded as sensors were lost. With PGR, every time a sensor failed, the respective cluster was reconfigured to maintain coverage. In this way, clusters made local reconfiguration decisions to achieve the global field coverage performance goal.
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