An optimal data collection technique for improved utility in UAS-aided networks
- 1 April 2014
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
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.Keywords
This publication has 25 references indexed in Scilit:
- A game theoretic approach to integrate security with Quality of ServicePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2012
- On the Partially Overlapped Channel Assignment on Wireless Mesh Network Backbone: A Game Theoretic ApproachIEEE Journal on Selected Areas in Communications, 2011
- A Novel Scheme for WSAN Sink Mobility Based on Clustering and Set Packing TechniquesIEEE Transactions on Automatic Control, 2011
- The Three-Tier Security Scheme in Wireless Sensor Networks with Mobile SinksIEEE Transactions on Parallel and Distributed Systems, 2010
- Coverage-Time Optimization for Clustered Wireless Sensor Networks: A Power-Balancing ApproachIEEE/ACM Transactions on Networking, 2009
- Dynamic Spectrum Access and Management in Cognitive Radio NetworksPublished by Cambridge University Press (CUP) ,2009
- Industrial Wireless Sensor Networks: Challenges, Design Principles, and Technical ApproachesIEEE Transactions on Industrial Electronics, 2009
- Using game theory to analyze wireless ad hoc networksIEEE Communications Surveys & Tutorials, 2005
- Data MULEs: modeling a three-tier architecture for sparse sensor networksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Adaptive Modulation over Nakagami Fading ChannelsWireless Personal Communications, 2000