Optimal Data Collection in Hybrid Energy-Harvesting Sensor Networks

Kishor Patil (1) , Koen de Turck (2) , Dieter Fiems (1)

1 SMACS Research Group
2 L2S - Laboratoire des signaux et systèmes

In hybrid energy harvesting sensor networks, there is a trade-off between the cost of data collection by a wireless sink and the timeli-ness of the collected data. The trade-off further depends on the energy harvesting capability of the sensor nodes as sensors cannot transmit data if they do not have sufficient energy. In this paper, we propose an analytic model for assessing the value of the information that a sensor node brings to decision making. We account for the timeliness of data by discounting the value of the information at the sensor over time and adopt the energy-chunk approach (i.e. discretise the energy level) to track energy harvesting and expenditure over time. Finally, by numerical experiments, we study the optimal data collection rate for the sensor node at hand.

Mots clés: Age of information; Sensor networks; Energy harvesting; Markov process

Domaines: Modélisation et simulation; Réseaux et télécommunications [cs.NI]; Réseaux sociaux et d'information [cs.SI]; Probabilités [math.PR]; Informatique et théorie des jeux [cs.GT]

Kishor Patil, Koen de Turck, Dieter Fiems. Optimal Data Collection in Hybrid Energy-Harvesting Sensor Networks. 23rd International Conference on Analytical & Stochastic Modelling Techniques & Applications, Aug 2016, Cardiff, United Kingdom. pp.239-252, ⟨10.1007/978-3-319-43904-4_17⟩. ⟨hal-01426157⟩