Title: Online drone-based data gathering strategies for ground sensor networks
Authors: Celia Yasmine Tazibt; Nadjib Achir; Tounsia Djamah
Addresses: LARI Laboratory, Mouloud Mammeri University of Tizi-Ouzou, Tizi-Ouzou, Algeria; Université Sorbonne Paris Nord, L2TI, UR 3043, F-93430, France ' Université Sorbonne Paris Nord, L2TI, UR 3043, F-93430, France; TRiBE, Inria Saclay, 1 Rue Honoré d'Estienne d'Orves, 91120 Palaiseau, France ' Mouloud Mammeri University of Tizi-Ouzou, BP 17 RP 15000, Tizi Ouzou, Algeria
Abstract: This paper proposes two path-planning schemes for data collection in WSN using a drone flying over the sensor nodes to collect their data. We assign a weight to each sensor node corresponding to its priority in the collection process. When the drone selects its destination node, it will choose the one having the highest weight. We have defined utility functions based on the sensor nodes' information disseminated in the wireless sensor network (WSN) using the optimised link state routing (OLSR) protocol. The information required to compute the nodes' weight is added to the exchanged packets during the execution of OLSR. The first proposed strategy is data-driven data gathering strategy (DDG) which uses the amount of stored data in each sensor node buffer. A priority is given to the nodes having the most significant data amount to collect. The second strategy is called time-driven data gathering strategy (TDG) where the age of the data is considered.
Keywords: wireless sensor networks; WSNs; unmanned aerial vehicles; data gathering; path planning; optimised link state routing; OLSR; data-driven data gathering strategy; DDG; time-driven data gathering strategy; TDG.
International Journal of Sensor Networks, 2022 Vol.38 No.3, pp.177 - 190
Received: 30 Mar 2021
Accepted: 08 Jun 2021
Published online: 24 Mar 2022 *