Balancing energy efficiency and throughput fairness in IEEE 802.11 WLANs

The proliferation of wireless networks based on IEEE 802.11 has resulted in a heterogenous set of devices using a variety of applications to compete for the desired service performance. Most notably, the class of highly mobile and energy constrained devices is showing high growth rates. Yet, fairness of resource allocation is still only considered in terms of achievable throughput and without considering energy efficiency. In this paper we first show that performing an energy efficient and fair resource allocation in current IEEE 802.11 WLANs is challenging, given the diversity of power consumption figures among mobile devices. We then propose a criterion to objectively balance between the most energy-efficient configuration (where all resources are given to one station) and the throughput-fair allocation (where the power consumption is not considered). We derive a closed-form expression for the optimal configuration of 802.11 with respect to this criterion. Our analysis is validated through simulations, showing that our approach betters the prevalent allocation schemes discussed in literature in terms of energy efficiency, while maintaining the notion of fairness among devices. Experimental results obtained in a real-world testbed confirm the main results derived from our analysis and simulations.

[1]  Albert Banchs,et al.  User fair queuing: fair allocation of bandwidth for users , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

[2]  Vaduvur Bharghavan,et al.  Achieving MAC layer fairness in wireless packet networks , 2000, MobiCom '00.

[3]  Carla-Fabiana Chiasserini,et al.  Saving Energy during Channel Contention in 802.11 WLANs , 2006, Mob. Networks Appl..

[4]  Raj Jain,et al.  A Quantitative Measure Of Fairness And Discrimination For Resource Allocation In Shared Computer Systems , 1998, ArXiv.

[5]  Frank Kelly,et al.  Rate control for communication networks: shadow prices, proportional fairness and stability , 1998, J. Oper. Res. Soc..

[6]  Huw Oliver,et al.  Proportional fair throughput allocation in multirate IEEE 802.11e wireless LANs , 2007, Wirel. Networks.

[7]  Albert Banchs,et al.  Providing throughput guarantees in IEEE 802.11 wireless LAN , 2002, 2002 IEEE Wireless Communications and Networking Conference Record. WCNC 2002 (Cat. No.02TH8609).

[8]  A. Girotra,et al.  Performance Analysis of the IEEE 802 . 11 Distributed Coordination Function , 2005 .

[9]  Pravin Varaiya,et al.  Decomposition of Energy Consumption in IEEE 802.11 , 2007, 2007 IEEE International Conference on Communications.

[10]  Filip Idzikowski,et al.  Power consumption of WLAN network elements , 2011 .

[11]  Marco Conti,et al.  Optimization of Efficiency and Energy Consumption in p-Persistent CSMA-Based Wireless LANs , 2002, IEEE Trans. Mob. Comput..

[12]  Matthias Hollick,et al.  Energy-efficient fair channel access for IEEE 802.11 WLANs , 2011, 2011 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks.

[13]  Geoffrey Ye Li,et al.  Fundamental trade-offs on green wireless networks , 2011, IEEE Communications Magazine.

[14]  Albert Banchs,et al.  Revisiting 802.11e EDCA performance analysis , 2007, Wirel. Pers. Commun..

[15]  Laurent Massoulié,et al.  Bandwidth sharing and admission control for elastic traffic , 2000, Telecommun. Syst..

[16]  Arturo Azcorra,et al.  Optimal Configuration of 802.11e EDCA for Real-Time and Data Traffic , 2010, IEEE Transactions on Vehicular Technology.

[17]  Hui Wang,et al.  Network lifetime optimization in wireless sensor networks , 2010, IEEE Journal on Selected Areas in Communications.

[18]  Matthias Hollick,et al.  On the energy efficiency of IEEE 802.11 WLANs , 2010, 2010 European Wireless Conference (EW).

[19]  P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .