Title
Toward Fair Maximization of Energy Efficiency in Multiple UAS-Aided Networks: A Game-Theoretic Methodology
Abstract
Recent technological advances in electronics, sensors, and communications have accelerated the widespread deployment of Unmanned Aircraft System (UAS)-aided applications. Nevertheless, networks composed of multiple UAS and ground stations, referred to as UAS-aided communications networks, have yet to receive sufficient research attention. In this paper, we address a fundamental research challenge stunting such networks, which is how to fairly maximize the energy efficiency (throughput per energy) in networks comprising adaptive modulation-capable ground nodes. For the mobility pattern intrinsic to the UASs, we demonstrate how adaptive modulation is affected. Furthermore, we formulate the problem of maximizing fair energy efficiency as a potential game that is played between the multiple ground nodes and substantiate its stability, optimality, and convergence. Based on the formulated potential game, a data collection method is proposed to maximize the energy efficiency with a fairness constraint. Additionally, we analyze the Price of Anarchy of our proposed game-theoretic data collection method. Extensive simulations exhibit the effectiveness of our proposal under varying environments.
Year
DOI
Venue
2015
10.1109/TWC.2014.2343219
IEEE Transactions on Wireless Communications
Keywords
Field
DocType
games,trajectory,signal to noise ratio,modulation,data collection,game theory,wireless communication
Link adaptation,Mathematical optimization,Wireless,Computer science,Efficient energy use,Potential game,Computer network,Game theory,Price of anarchy,Throughput,Maximization
Journal
Volume
Issue
ISSN
14
1
1536-1276
Citations 
PageRank 
References 
13
0.75
35
Authors
6
Name
Order
Citations
PageRank
Ahmed E. A. A. Abdulla1602.13
Zubair Md. Fadlullah275645.47
Hiroki Nishiyama3128592.61
Nei Kato43982263.66
Fumie Ono514121.69
ryu miura624343.36