Paper Info
Title
An optimal data collection technique for improved utility in UAS-aided networks
Abstract
Recent technological advances in electronics, sensors, and communications devices have facilitated the proliferation of Unmanned Aircraft System (UAS)-aided applications. However, the UAS-aided communications networks are yet to receive sufficient research endeavor. In this paper, we address one of the most important research challenges pertaining to UAS-aided networks comprising adaptive modulation-capable nodes, namely how to fairly maximize the energy efficiency (throughput per energy). For the mobility pattern innate to the UAS, we demonstrate how the adaptive modulation behaves. Furthermore, we formulate the problem as a potential game that is played between the UAS and the network-nodes, and prove its stability, optimality, and convergence. Based upon the potential game, a data collection method is envisioned to maximize the energy efficiency with the fairness constraint. Additionally, we analyze the Price of Anarchy (PoA) of our proposed game. Extensive simulations exhibit the effectiveness of our proposal under varying environments.
Year
DOI
Venue
2014
10.1109/INFOCOM.2014.6848000
Toronto, ON
Keywords
Field
DocType
autonomous aerial vehicles,game theory,mobile robots,mobility management (mobile radio),PoA,UAS-aided communications networks,adaptive modulation-capable nodes,convergence,energy efficiency maximization,fairness constraint,mobility pattern,optimal data collection technique,optimality,potential game,price-of-anarchy,stability,unmanned aircraft system-aided applications,utility improvement
Convergence (routing),Link adaptation,Computer science,Efficient energy use,Potential game,Computer network,Modulation,Price of anarchy,Throughput,Bit error rate
Conference
ISSN
Citations 
PageRank 
0743-166X
19
1.34
References 
Authors
16
4
Name
Order
Citations
PageRank
Abdulla, A.E.A.A.1191.34
Md Fadlullah, Z.2382.48
Hiroki Nishiyama3128592.61
Nei Kato43982263.66