DocumentCode :
64837
Title :
Decentralized Constraint Satisfaction
Author :
Duffy, Ken R. ; Bordenave, Charles ; Leith, Douglas J.
Author_Institution :
Hamilton Inst., Nat. Univ. of Ireland Maynooth, Maynooth, Ireland
Volume :
21
Issue :
4
fYear :
2013
fDate :
Aug. 2013
Firstpage :
1298
Lastpage :
1308
Abstract :
We show that several important resource allocation problems in wireless networks fit within the common framework of constraint satisfaction problems (CSPs). Inspired by the requirements of these applications, where variables are located at distinct network devices that may not be able to communicate but may interfere, we define natural criteria that a CSP solver must possess in order to be practical. We term these algorithms decentralized CSP solvers. The best known CSP solvers were designed for centralized problems and do not meet these criteria. We introduce a stochastic decentralized CSP solver, proving that it will find a solution in almost surely finite time, should one exist, and also showing it has many practically desirable properties. We benchmark the algorithm´s performance on a well-studied class of CSPs, random k-SAT, illustrating that the time the algorithm takes to find a satisfying assignment is competitive with stochastic centralized solvers on problems with order a thousand variables despite its decentralized nature. We demonstrate the solver´s practical utility for the problems that motivated its introduction by using it to find a noninterfering channel allocation for a network formed from data from downtown Manhattan.
Keywords :
channel allocation; computability; constraint handling; learning automata; decentralized constraint satisfaction problem; learning automata; noninterfering channel allocation; random k-SAT; resource allocation problems; stochastic centralized solvers; stochastic decentralized CSP solver; wireless networks; Encoding; Network coding; Resource management; Schedules; Transmitters; Wireless LAN; Wireless networks; Channel allocation; TDMA; learning automata; network coding; stochastic processes; wireless networks;
fLanguage :
English
Journal_Title :
Networking, IEEE/ACM Transactions on
Publisher :
ieee
ISSN :
1063-6692
Type :
jour
DOI :
10.1109/TNET.2012.2222923
Filename :
6341868
Link To Document :
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