e-LiteSense: Self-adaptive energy-aware data sensing in WSN environments

dc.contributor.author Rito Lima,S en
dc.contributor.author João Marco en
dc.contributor.author Bispo,KA en
dc.contributor.author Carvalho,P en
dc.contributor.other 6946 en
dc.date.accessioned 2019-12-12T13:48:05Z
dc.date.available 2019-12-12T13:48:05Z
dc.date.issued 2019 en
dc.description.abstract Currently deployed in a wide variety of applicational scenarios, wireless sensor networks (WSNs) are typically a resource-constrained infrastructure. Consequently, characteristics such as WSN adaptability, low-overhead, and low-energy consumption are particularly relevant in dynamic and autonomous sensing environments where the measuring requirements change and human intervention is not viable. To tackle this issue, this article proposes e-LiteSense as an adaptive, energy-aware sensing solution for WSNs, capable of auto-regulate how data are sensed, adjusting it to each applicational scenario. The proposed adaptive scheme is able to maintain the sensing accuracy of the physical phenomena, while reducing the overall process overhead. In this way, the adaptive algorithm relies on low-complexity rules to establish the sensing frequency weighting the recent drifts of the physical parameter and the levels of remaining energy in the sensor. Using datasets from WSN operational scenarios, we prove e-LiteSense effectiveness in self-regulating data sensing accurately through a low-overhead process where the WSN energy levels are preserved. This constitutes a step-forward for implementing self-adaptive energy-aware data sensing in dynamic WSN environments. © 2019 John Wiley & Sons, Ltd. en
dc.identifier.uri http://repositorio.inesctec.pt/handle/123456789/10493
dc.identifier.uri http://dx.doi.org/10.1002/dac.4153 en
dc.language eng en
dc.rights info:eu-repo/semantics/openAccess en
dc.title e-LiteSense: Self-adaptive energy-aware data sensing in WSN environments en
dc.type Publication en
dc.type article en
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