Energy consumption minimisation at edge node using [Formula: see text] approach in predicting sensor parameters in WSNs.

ABSTRACT: Owing to limited storage and battery power, wireless sensor nodes often face challenges in maintaining long-term energy sustainability. To address this, only a subset of sensors remains active to monitor different sensor parameters while others get predicted to minimize sensor node energy consumption. In prediction, not all active parameters are equally important, as low-correlated parameters increase computational complexity and decrease accuracy. Researchers use highly correlated active parameters, though existing solutions often use polynomial time and don't ensure optimal parameter set. This paper proposes a cross-correlation-based parameter selection [Formula: see text] approach, ensuring the selected parameter set is stable and Pareto-optimal. Simulations are performed on nine public

SUBMITTER: Maurya V 

PROVIDER: S-EPMC12559314 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature