Title
Enhance & explore: an adaptive algorithm to maximize the utility of wireless networks
Abstract
The goal of jointly providing efficiency and fairness in wireless networks can be seen as the problem of maximizing a given utility function. In contrast with wired networks, the capacity of wireless networks is typically time-varying and not known explicitly. Hence, as the capacity region is impossible to know or measure exactly, existing scheduling schemes either under-estimate it and are too conservative, or they over-estimate it and suffer from congestion collapse. We propose a new adaptive algorithm, called Enhance & Explore (E&E). It maximizes the utility of the network without requiring any explicit characterization of the capacity region. E&E works above the MAC layer and it does not demand any modification to the existing networking stack. We first evaluate our algorithm theoretically and we prove that it converges to a state of optimal utility. We then evaluate the performance of the algorithm in a WLAN setting, using both simulations and real measurements on a testbed composed of IEEE 802.11 wireless routers. Finally, we investigate a wireless mesh network setting and we find that, when coupled with an efficientmechanismfor congestioncontrol, the E&E algorithm greatly increases the utility achieved by multi-hop networks as well.
Year
DOI
Venue
2011
10.1145/2030613.2030632
MobiCom
Keywords
Field
DocType
utility function,optimal utility,wireless network,wlan setting,algorithm theoretically,new adaptive algorithm,wireless routers,wireless mesh network setting,capacity region,e algorithm,wireless mesh network,wireless networks,wlan,congestion control
Wireless network,Wireless,Scheduling (computing),Computer science,Computer network,Testbed,Utility maximization,Network congestion,Adaptive algorithm,Wireless mesh network,Distributed computing
Conference
Citations 
PageRank 
References 
5
0.50
23
Authors
5
Name
Order
Citations
PageRank
Adel Aziz1515.45
Julien Herzen2726.44
Ruben Merz329523.65
Seva Shneer4135.60
Patrick Thiran52712217.24