Localized performance-guided reconfiguration for distributed sensor networks

P. Joshi, T. Jannett
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引用次数: 1

Abstract

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.
分布式传感器网络的局部性能导向重构
传感器网络可以重新配置以延长其使用寿命,同时保证覆盖性能是感兴趣的。本文描述了使用局部性能引导重构(PGR)在使用二进制传感器数据的目标定位场景中重新配置分布式传感器网络。如果集群中的某个传感器由于电池电量不足或其他原因变得不可用,PGR会根据需要激活冗余传感器,以使网络达到预期的覆盖性能。为了简单地演示本地化PGR,我们比较了使用本地化PGR、最近邻重新配置方法和不进行字段重新配置的方法的多集群网络的性能。如果没有PGR,覆盖性能会随着传感器的丢失而下降。在PGR中,每当一个传感器发生故障时,就会重新配置相应的集群以保持覆盖。通过这种方式,集群做出局部重新配置决策,以实现全局域覆盖性能目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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