A survey on game theory applications in wireless networks

Charilas, DE; Panagopoulos, AD

dc.contributor.author	Charilas, DE	en
dc.contributor.author	Panagopoulos, AD	en
dc.date.accessioned	2014-03-01T01:32:33Z
dc.date.available	2014-03-01T01:32:33Z
dc.date.issued	2010	en
dc.identifier.issn	1389-1286	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/20177
dc.subject	Call admission control	en
dc.subject	Coalition	en
dc.subject	Cooperation incentives	en
dc.subject	Game theory	en
dc.subject	Nash equilibrium	en
dc.subject	Payoff	en
dc.subject	Power control	en
dc.subject	Resource allocation	en
dc.subject	Routing	en
dc.subject	Wireless Networks	en
dc.subject.classification	Computer Science, Hardware & Architecture	en
dc.subject.classification	Computer Science, Information Systems	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.classification	Telecommunications	en
dc.subject.other	Call admission control	en
dc.subject.other	Coalition	en
dc.subject.other	Cooperation incentives	en
dc.subject.other	Nash equilibrium	en
dc.subject.other	Payoff	en
dc.subject.other	Routing	en
dc.subject.other	Ad hoc networks	en
dc.subject.other	Innovation	en
dc.subject.other	Network protocols	en
dc.subject.other	Power control	en
dc.subject.other	Quality of service	en
dc.subject.other	Resource allocation	en
dc.subject.other	Surveys	en
dc.subject.other	Game theory	en
dc.title	A survey on game theory applications in wireless networks	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.comnet.2010.06.020	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.comnet.2010.06.020	en
heal.language	English	en
heal.publicationDate	2010	en
heal.abstract	While the Quality of Service (QoS) offered to users may be enhanced through innovative protocols and new technologies, future trends should take into account the efficiency of resource allocation and network/terminal cooperation as well. Game theory techniques have widely been applied to various engineering design problems in which the action of one component has impact on (and perhaps conflicts with) that of any other component. Therefore, game formulations are used, and a stable solution for the players is obtained through the concept of equilibrium. This survey collects applications of game theory in wireless networking and presents them in a layered perspective, emphasizing on which fields game theory could be effectively applied. To this end, several games are modeled and their key features are exposed. (C) 2010 Elsevier B.V. All rights reserved.	en
heal.publisher	ELSEVIER SCIENCE BV	en
heal.journalName	Computer Networks	en
dc.identifier.doi	10.1016/j.comnet.2010.06.020	en
dc.identifier.isi	ISI:000285856600016	en
dc.identifier.volume	54	en
dc.identifier.issue	18	en
dc.identifier.spage	3421	en
dc.identifier.epage	3430	en