A hybrid control law for energy-oriented tasks scheduling in wireless sensor networks

Olesia Mokrenko (1) , Carolina Albea-Sanchez (2) , Suzanne Lesecq (1) , Luca Zaccarian (3, 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
3 UNITN - Università degli Studi di Trento = University of Trento

Energy is a key resource in Wireless Sensor Networks (WSNs), especially when sensor nodes are powered by batteries. This work investigates how to save energy of the whole WSN, thanks to control strategies, in real time and in a dynamic way. The energy management strategy is based on a Hybrid Dynamical System (HDS) approach. This choice is motivated by the hybrid inherent nature of the WSN system when energy management is considered. The hybrid nature basically comes from the combination of continuous physical processes, namely, the charge/discharge of the node batteries; while the discrete part is related to the change in the functioning modes and an Unreachable condition of the nodes. This approach provides a decentralized controller with low computational load that reduces the number of switching as compared to existing approaches. The proposed strategy is evaluated and compared in simulation on a realistic test-case. Lastly, they have been implemented on a real test-bench and the obtained results have been discussed.

Mots clés: Hybrid Dynamical Systems; Energy management; Wireless Sensor Network

Domaines: Automatique

Olesia Mokrenko, Carolina Albea-Sanchez, Suzanne Lesecq, Luca Zaccarian. A hybrid control law for energy-oriented tasks scheduling in wireless sensor networks. IEEE Transactions on Control Systems Technology, 2018, 26 (6), pp.1995-2007. ⟨10.1109/TCST.2017.2750999⟩. ⟨hal-01402876⟩