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A Green Approach for Selfish Misbehavior Detection in 802.11-Based Wireless Networks

dc.contributor.authorHayajneh, Thaier
dc.contributor.authorAlmashaqbeh, Ghada
dc.contributor.authorUllah, Sana
dc.date.accessioned2015-10-16T11:15:21Z
dc.date.available2015-10-16T11:15:21Z
dc.date.issued2015-05-06
dc.description.abstractIEEE 802.11 is one of the most well-established and widely used standard for wireless LAN. Its Medium Access control (MAC) layer assumes that the devices adhere to the standard’s rules and timers to assure fair access and sharing of the medium. However, wireless cards driver flexibility and configurability make it possible for selfish misbehaving nodes to take advantages over the other well-behaving nodes. The existence of selfish nodes degrades the QoS for the other devices in the network and may increase their energy consumption. In this paper we propose a green solution for selfish misbehavior detection in IEEE 802.11-based wireless networks. The proposed scheme works in two phases: Global phase which detects whether the network contains selfish nodes or not, and Local phase which identifies which node or nodes within the network are selfish. Usually, the network must be frequently examined for selfish nodes during its operation since any node may act selfishly. Our solution is green in the sense that it saves the network resources as it avoids wasting the nodes energy by examining all the individual nodes of being selfish when it is not necessary. The proposed detection algorithm is evaluated using extensive OPNET simulations. The results show that the Global network metric clearly indicates the existence of a selfish node while the Local nodes metric successfully identified the selfish node(s). We also provide mathematical analysis for the selfish misbehaving and derived formulas for the successful channel access probability.pt_PT
dc.identifier.doi10.1007/s11036-015-0605-4
dc.identifier.urihttp://hdl.handle.net/10400.22/6714
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringer USpt_PT
dc.relation.ispartofseriesMobile Networks and Applications;Vol. 20, Issue 5
dc.relation.publisherversionhttp://link.springer.com/article/10.1007%2Fs11036-015-0605-4pt_PT
dc.subjectMAC misbehavingpt_PT
dc.subjectGreen solutionpt_PT
dc.subjectSelfish detectionpt_PT
dc.subject802.11 securitypt_PT
dc.subjectBackoff timept_PT
dc.titleA Green Approach for Selfish Misbehavior Detection in 802.11-Based Wireless Networkspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage635pt_PT
oaire.citation.issue5pt_PT
oaire.citation.startPage623pt_PT
oaire.citation.titleMobile Networks and Applicationspt_PT
oaire.citation.volume20pt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT

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