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Effect Of Redundancy On The Mean Time To Failure Of Wireless Sensor Networks

机译:冗余对无线传感器网络平均故障时间的影响

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In data-driven wireless sensor networks (WSNs), the system must perform data sensing and retrieval and possibly aggregate data as a response at runtime. As a WSN is often deployed unattended in areas where replacements of failed sensors are difficult, energy conservation is of primary concern. While the use of redundancy is desirable in terms of satisfying user queries to cope with sensor and transmission faults, it may adversely shorten the lifetime of the WSN, as more sensor nodes will have to be used to answer queries, causing the energy of the system to drain quickly. In this paper, we analyze the effect of redundancy on the mean time to failure (MTTF) of a WSN in terms of the number of queries the system is able to answer correctly before it fails due to either sensor/transmission faults or energy depletion. In particular, we analyze the effect of redundancy on the MTTF of cluster-structured WSNs for energy conservations. We show that a tradeoff exists between redundancy and MTTF. Furthermore, an optimal redundancy level exists such that the MTTF of the system is maximized.
机译:在数据驱动的无线传感器网络(WSN)中,系统必须执行数据感测和检索,并可能在运行时将数据聚合为响应。由于WSN通常无人值守地部署在更换故障传感器的困难地区,因此节能是首要考虑的问题。尽管从满足用户查询以应对传感器和传输故障的角度来看,使用冗余是合乎需要的,但是由于必须使用更多的传感器节点来回答查询,这可能不利地缩短了WSN的寿命,从而导致系统能耗大快速流失。在本文中,我们根据系统能够在由于传感器/传输故障或能量耗尽而失败之前正确回答的查询数量,分析冗余对WSN的平均故障时间(MTTF)的影响。特别是,我们分析了冗余对群集结构WSN的MTTF的影响,以实现节能。我们表明冗余和MTTF之间存在折衷。此外,存在最佳冗余级别,以使系统的MTTF最大化。

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