文章基本信息

标题：Estimating the Lifetime of Wireless Sensor Network Nodes through the Use of Embedded Analytical Battery Models
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作者：Leonardo M. Rodrigues ; Carlos Montez ; Gerson Budke 等
期刊名称：Journal of Sensor and Actuator Networks
电子版ISSN：2224-2708
出版年度：2017
卷号：6
期号：2
页码：8-31
DOI：10.3390/jsan6020008
出版社：MDPI Publishing
摘要：The operation of Wireless Sensor Networks (WSNs) is subject to multiple constraints, among which one of the most critical is available energy. Sensor nodes are typically powered by electrochemical batteries. The stored energy in battery devices is easily influenced by the operating temperature and the discharge current values. Therefore, it becomes difficult to estimate their voltage/charge behavior over time, which are relevant variables for the implementation of energy-aware policies. Nowadays, there are hardware and/or software approaches that can provide information about the battery operating conditions. However, this type of hardware-based approach increases the battery production cost, which may impair its use for sensor node implementations. The objective of this work is to propose a software-based approach to estimate both the state of charge and the voltage of batteries inWSN nodes based on the use of a temperature-dependent analytical battery model. The achieved results demonstrate the feasibility of using embedded analytical battery models to estimate the lifetime of batteries, without affecting the tasks performed by the WSN nodes.
关键词：WSN; T-KiBaM; battery model; voltage modeling; thermal effect; micro-controller WSN ; T-KiBaM ; battery model ; voltage modeling ; thermal effect ; micro-controller