State-of-charge estimation to improve energy conservation and extend battery life of wireless sensor network nodes
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Quintero, Vanessa
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State-of-charge estimation to improve energy conservation and extend battery life of wireless sensor network nodes
Abstract
Wireless sensor networks are pervasive systems that
continuously demonstrate increase in growth by branching into
diverse applications. The state of charge is an indicator that conveys
the amount of energy available in the battery, information
that contributes to better decision-making and energy-efficient
protocols by creating smart cross-layer designs. WSN research
trends portray the importance of energy-efficient systems by
prioritizing energy efficiency over other arguably equally important
aspects as throughput, channel utilization, latency, etc. This
demonstrates the impact of improving the energy conservation
techniques and extending the battery life of the sensor nodes. By
using Bayesian inference, more specifically particle filtering, it is
shown that the state of charge can be accurately estimated within
the linear region of the voltage-SOC curve. Battery discharge
experiments are compared to simulations of the voltage-SOC evolution
behavior using a state-space representation model, which
showed good agreement between the results. The SOC estimation
obtained by the particle filter yields essential information that
can, and should, be incorporated into MAC protocols.
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URI: https://repositorio.uchile.cl/handle/2250/168990
DOI: 10.1109/ICUFN.2017.7993766
ISSN: 21658536
21658528
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2017 Ninth International Conference on Ubiquitous and Future Networks (ICUFN)
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