A decision-making analysis in UAV-enabled wireless power transfer for IoT networks

TitreA decision-making analysis in UAV-enabled wireless power transfer for IoT networks
Publication TypeJournal Article
Year of Publication2020
AuthorsLhazmir, S, Oualhaj, OAit, Kobbane, A, Mokdad, L
JournalSimulation Modelling Practice and Theory
Volume103
Pagination102102
ISSN1569-190X
Mots-clésGMDP, Internet of things, Unmanned aerial vehicle, Wireless energy transfer
Abstract

We consider an IoT network with energy-harvesting capabilities. To extend the network lifetime, we propose a novel unmanned aerial vehicle (UAV)- enabled wireless power transfer (WPT) system, where UAVs move among IoT devices and act as data aggregators and wireless power providers. This paper addresses the decision-making problem since the limited buffer and energy resources constrain all nodes. Each IoT node must decide on whether to request a data transmission, to ask for a wireless energy transfer or to abstain and not take any action. When a UAV receives a request from an IoT device, either for data reception or wireless energy transmission, it has to accept or decline. In this paper, we aim to find a proper packet delivery and energy transfer policy according to the system state that maximizes the data transmission efficiency of the system. We first formulate the problem as a Markov Decision Process (MDP) to tackle the successive decision issues, to optimize a utility for each node upon a casual environment. As the MDP formalism achieves its limits when the interactions between different nodes are considered, we formulate the problem as a Graph-based MDP (GMDP). The transition functions and rewards are then decomposed into local functions, and a graph illustrates the dependency’ relations among the nodes. To obtain the optimal policy despite the system’s variations, Mean-Field Approximation (MFA) and Approximate linear-programming (ALP) algorithms were proposed to solve the GMDP problem.

URLhttps://www.sciencedirect.com/science/article/pii/S1569190X2030040X
DOI10.1016/j.simpat.2020.102102
Revues: 

Partenaires

Localisation

Suivez-nous sur

         

    

Contactez-nous

ENSIAS

Avenue Mohammed Ben Abdallah Regragui, Madinat Al Irfane, BP 713, Agdal Rabat, Maroc

  Télécopie : (+212) 5 37 68 60 78

  Secrétariat de direction : 06 61 48 10 97

        Secrétariat général : 06 61 34 09 27

        Service des affaires financières : 06 61 44 76 79

        Service des affaires estudiantines : 06 62 77 10 17 / n.mhirich@um5s.net.ma

        Résidences : 06 61 82 89 77

Contacts

    

Education - This is a contributing Drupal Theme
Design by WeebPal.