WSN Power Management with Battery Capacity Estimation

Olesia Mokrenko (1) , M.-I Vergara-Gallego (1) , W Lombardi (1) , Suzanne Lesecq (1) , Carolina Albea-Sanchez (2)

1 CEA-LETI - Commissariat à l'énergie atomique et aux énergies alternatives - Laboratoire d'Electronique et de Technologie de l'Information
2 LAAS-MAC - Équipe Méthodes et Algorithmes en Commande

Wireless sensor nodes are now cheap and reliable enough to be deployed in different environments. However, their limited energy capacity limits their lifespan. In this paper, a Management strategy at network-level of a set of nodes is implemented, taking into account an estimation of the remaining energy in each sensor node. The control formulation is based on Model Predictive Control with constraints and binary optimization variables, leading to a Mixed Integer Quadratic Programming problem. The estimation of the remaining energy in batteries must be simple enough to be implemented in low-cost, low-power, low-computational-capability sensor nodes.

Domaines: Automatique / Robotique; Micro et nanotechnologies/Microélectronique

Olesia Mokrenko, M.-I Vergara-Gallego, W Lombardi, Suzanne Lesecq, Carolina Albea-Sanchez. WSN Power Management with Battery Capacity Estimation. 13th IEEE International NEW Circuits And Systems (NEWCAS) conference, Jun 2015, Grenoble, France. ⟨hal-01164003⟩