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


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Output type: Conference proceeding

UM6P affiliated Publication?: Yes

Author list: Lhazmir S., Oualhaj O.A., Kobbane A., Amlioud E.M., Ben-Othman J.

Publication year: 2020

Journal: IEEE International Conference on Communications (1550-3607)

Volume number: 2020-June

ISSN: 1550-3607

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089418365&doi=10.1109%2fICC40277.2020.9148956&partnerID=40&md5=a3d1ed58b9a7436f2191be8372102f51

Languages: English (EN-GB)


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Abstract

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. © 2020 IEEE.


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Last updated on 2021-14-06 at 23:16