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Conference Paper: Auction-based WLAN bandwidth allocation in game strategy perspective

TitleAuction-based WLAN bandwidth allocation in game strategy perspective
Authors
KeywordsAuction-Based Allocation
Game Formulation
Revenue Formula
System Efficiency
Wlan Management
Issue Date2011
Citation
2011 International Conference On Multimedia Technology, Icmt 2011, 2011, p. 5309-5313 How to Cite?
AbstractSurge in WLAN development leads to urgent demand for more efficient bandwidth allocation methods. In this paper, two novel auction-based time-slotted WLAN bandwidth allocation models are established, namely the Combination of Single-slot Second-Price Sealed Auction (CoSSPSA) and the Multi-slot Vickrey Auction versus Homogeneous Objects (MVAvHO). In these models, each user is assigned to a bidding group which is represented by its bidder. Being assigned virtual credit budget, bidders compete for each slot in every bidding trial or all slots in one bidding trial, according to the bidding rule of adopted allocation model. Game formulation is then introduced to analyze the revenues of all auction participants as well as revenue of the whole allocation system. The bidding strategy formula for each single bidder is thereafter derived from the game formulation and each bidder adjusts its bids to attain the optimal revenue calculated from the bidding strategy formula. By means of synthesis of all participants' bidding strategies, the system efficiency values for both allocation models are computed. The allocation pattern is therefore formed. © 2011 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/158723
References

 

DC FieldValueLanguage
dc.contributor.authorXiahou, Hen_US
dc.contributor.authorLam, WHen_US
dc.date.accessioned2012-08-08T09:01:02Z-
dc.date.available2012-08-08T09:01:02Z-
dc.date.issued2011en_US
dc.identifier.citation2011 International Conference On Multimedia Technology, Icmt 2011, 2011, p. 5309-5313en_US
dc.identifier.urihttp://hdl.handle.net/10722/158723-
dc.description.abstractSurge in WLAN development leads to urgent demand for more efficient bandwidth allocation methods. In this paper, two novel auction-based time-slotted WLAN bandwidth allocation models are established, namely the Combination of Single-slot Second-Price Sealed Auction (CoSSPSA) and the Multi-slot Vickrey Auction versus Homogeneous Objects (MVAvHO). In these models, each user is assigned to a bidding group which is represented by its bidder. Being assigned virtual credit budget, bidders compete for each slot in every bidding trial or all slots in one bidding trial, according to the bidding rule of adopted allocation model. Game formulation is then introduced to analyze the revenues of all auction participants as well as revenue of the whole allocation system. The bidding strategy formula for each single bidder is thereafter derived from the game formulation and each bidder adjusts its bids to attain the optimal revenue calculated from the bidding strategy formula. By means of synthesis of all participants' bidding strategies, the system efficiency values for both allocation models are computed. The allocation pattern is therefore formed. © 2011 IEEE.en_US
dc.languageengen_US
dc.relation.ispartof2011 International Conference on Multimedia Technology, ICMT 2011en_US
dc.subjectAuction-Based Allocationen_US
dc.subjectGame Formulationen_US
dc.subjectRevenue Formulaen_US
dc.subjectSystem Efficiencyen_US
dc.subjectWlan Managementen_US
dc.titleAuction-based WLAN bandwidth allocation in game strategy perspectiveen_US
dc.typeConference_Paperen_US
dc.identifier.emailLam, WH:whlam@eee.hku.hken_US
dc.identifier.authorityLam, WH=rp00136en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1109/ICMT.2011.6001922en_US
dc.identifier.scopuseid_2-s2.0-80052926821en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-80052926821&selection=ref&src=s&origin=recordpageen_US
dc.identifier.spage5309en_US
dc.identifier.epage5313en_US
dc.identifier.scopusauthoridXiahou, H=49864852200en_US
dc.identifier.scopusauthoridLam, WH=7203021916en_US

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