TY - GEN
T1 - An optimal data collection technique for improved utility in UAS-aided networks
AU - Abdulla, Ahmed E.A.A.
AU - Fadlullah, Zubair Md
AU - Nishiyama, Hiroki
AU - Kato, Nei
AU - Ono, Fumie
AU - Miura, Ryu
PY - 2014/1/1
Y1 - 2014/1/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84904439301&partnerID=8YFLogxK
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U2 - 10.1109/INFOCOM.2014.6848000
DO - 10.1109/INFOCOM.2014.6848000
M3 - Conference contribution
AN - SCOPUS:84904439301
SN - 9781479933600
T3 - Proceedings - IEEE INFOCOM
SP - 736
EP - 744
BT - IEEE INFOCOM 2014 - IEEE Conference on Computer Communications
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 33rd IEEE Conference on Computer Communications, IEEE INFOCOM 2014
Y2 - 27 April 2014 through 2 May 2014
ER -
