UAV for Wireless Power Transfer in IoT Networks: A GMDP approach

• Published in: ICC 2020 - 2020 IEEE International Conference on Communications (ICC) pp. 1 - 6
• Main Authors: Lhazmir, Safae, Oualhaj, Omar Ait, Kobbane, Abdellatif, Amhoud, El Mehdi, Ben-Othman, Jalel
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-06-2020
• Subjects: Batteries; Data communication; Energy exchange; Energy harvesting; Energy states; GMDP; Internet of Things; Unmanned Aerial Vehicle; Wireless communication; Wireless energy transfer; Wireless sensor networks
• ISSN: 1938-1883
• DOI: 10.1109/ICC40277.2020.9148956

Unmanned aerial vehicles (UAVs) are a promising technology employed as moving aggregators and wireless power transmitters for IoT networks. In this paper, we consider an UAV-IoT wireless energy and data transmission system and the decision-making problem is investigated. We aim at optimizing the nodes' utilities by defining a good packet delivery and energy transfer policy according to the system state. We formulate the problem as a Markov Decision Process (MDP) to tackle the successive decision issues. As the MDP formalism achieves its limits when the neighbors' interactions are considered, we formulate the problem as a Graph-based MDP (GMDP). We then propose a Mean-Field Approximation (MFA) algorithm to find a solution. The simulation results show that our framework achieves a good analysis of the system behavior.