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Energy profiling in practical sensor networks: Identifying hidden consumers

机译:实际传感器网络中的能量分布图:确定隐藏的消费者

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摘要

Reducing energy consumption of wireless sensor nodes extends battery life and / or enables the use of energy harvesting and thus makes feasible many applications that might otherwise be impossible, too costly or require constant maintenance. However, theoretical approaches proposed to date that minimise WSN energy needs generally lead to less than expected savings in practice. We examine experiences of tuning the energy profile for two near-production wireless sensor systems and demonstrate the need for (a) microbenchmark-based energy consumption profiling, (b) examining start-up costs, and (c) monitoring the nodes during long-term deployments. The tuning exercise resulted in reductions in energy consumption of a) 93% for a multihop Telos-based system (average power 0.029 mW) b) 94.7% for a single hop Ti- 8051-based system during startup, and c) 39% for a Ti- 8051 system post start-up. The work reported shows that reducing the energy consumption of a node requires a whole system view, not just measurement of a “typical” sensing cycle. We give both generic lessons and specific application examples that provide guidance for practical WSN design and deployment.
机译:减少无线传感器节点的能量消耗可延长电池寿命和/或启用能量收集功能,从而使许多原本不可能实现的,太昂贵或需要持续维护的应用成为可行。然而,迄今为止提出的使WSN能量需求最小化的理论方法通常导致在实践中少于预期的节省。我们研究了调整两个临近生产的无线传感器系统的能量分布的经验,并证明了需要(a)基于微基准的能耗分布图,(b)检查启动成本,以及(c)在长期运行期间监视节点期限部署。通过调整,能耗降低了:a)基于Telos的多跳系统(平均功率0.029 mW)降低了93%b)基于Ti-8051的单跳系统在启动过程中降低了94.7%,以及c)降低了39% Ti 8051系统启动后。报告的工作表明,减少节点的能耗需要整个系统的视野,而不仅仅是测量“典型”的传感周期。我们提供了一般性的课程和特定的应用示例,它们为实际的WSN设计和部署提供了指导。

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