Auction based interface selection with Media Independent Handover services and flow management

Khan, Manzoor Ahmed; Toseef, Umar; Marx, Stefan; Goerg, Carmelita

doi:10.1109/ew.2010.5483497

Cited by 15 publications

(4 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Different game theoretical methods are modeled and aimed to solve the NS problem. Figure shows the division of the available approaches into three main types, which are in accordance with the type of game and interaction between players, cooperative (users vs. users , networks vs. users , networks vs. networks ), and noncooperative (users vs users , networks vs. users , and networks vs. networks ). As seen from Figure , most related literature considers the NS problem as noncooperative games.…”

Section: Intelligent Heterogeneous Wireless Network Selection Methodsmentioning

confidence: 99%

A novel noncooperative game competing model using generalized simple additive weighting method to perform network selection in heterogeneous wireless networks

Salih

See

Ibrahim

et al. 2014

Int J Communication

View full text Add to dashboard Cite

SUMMARYNetwork selection mechanisms have a significant role in guaranteeing the QoS for users in a heterogeneous wireless networks environment. These mechanisms allow the selection of an optimal wireless network to satisfy the needs of users. Users are provided with the opportunity to select from multiple connectivity opportunities available all over various wireless networks. Furthermore, the network operators themselves can execute active selection strategies that facilitate proper decision making, in which user preferences are considered. This study proposes a new noncooperative competing game-theoretic model and strategy space based on user preference. This model can solve network selection problems and capture the inter-linkages of decisions taken by various networks. A generalized simple additive weighting method is incorporated into the framework of noncooperative game theory. In addition, the utility function is employed to assess the usefulness of the system. Simulation results and analysis illustrate the efficacy of the suggested model in attaining optimum network utility for heterogeneous wireless networks while optimizing user satisfaction.

show abstract

Section: Intelligent Heterogeneous Wireless Network Selection Methodsmentioning

confidence: 99%

A novel noncooperative game competing model using generalized simple additive weighting method to perform network selection in heterogeneous wireless networks

Salih

See

Ibrahim

et al. 2014

Int J Communication

View full text Add to dashboard Cite

show abstract

“…According to the existing studies [8][9] and Fig. (2), it can be known that: 1), With respect to the requirements of voice, video and data business for QoS 2), the packet loss probability of voice shall not exceed 1%, one-way delay shall not exceed 150ms, and the average one-way jitter shall aim for less than 30ms.…”

Section: Fuzzy Subsystem Of Network Decision Attributementioning

confidence: 99%

Study on Selection of Heterogeneous Wireless Network in the View of Multi-Attribute Decision-Making

Guo¹,

Lv²,

Li³

et al. 2014

TOCSJ

View full text Add to dashboard Cite

Heterogeneous wireless network in the future will provide users with more service selections. The user can select the network with the best effect based on the specific demand and individual preference, and random selection will not only cause disorder of the network and low load efficiency but also impact the user's experience. The previous studies believe that the attribute of the network only has monotonous impact on the utility of user's use, namely, the larger the efficiency indicator the better, and the smaller the cost indicator the better. However, in reality, it changes with the conditions. The study divides the users into two types of quality preference and cost preference based on the model of multiattribute decision-making and constructs the network selection model in the environment of heterogeneous wireless network targeted at the voice business, video business and data business by taking into account the decision attributes of network bandwidth, delay, response speed, safety, cost to use, etc., thus realizing the objective of increasing the network utility of the user under the circumstance of adding no load to the network.

show abstract

“…It can be easily proven that the formulated auction is strategy proof, where each network (bidder) maximises its utility [see equation (6)] by bidding truthfully (Khan et al, 2009;Khan et al, 2010). It can be easily proven that the formulated auction is strategy proof, where each network (bidder) maximises its utility [see equation (6)] by bidding truthfully (Khan et al, 2009;Khan et al, 2010).…”

Section: Optimisation and Bids Adjustmentmentioning

confidence: 99%

Fuzzy-based handover decision with multi-attribute auctions in heterogeneous network environments

Charilas

Panagopoulos

2011

IJWMC

View full text Add to dashboard Cite

In next generation wireless networks mobile users will be able to roam between heterogeneous networks, using terminals with multiple access interfaces. An important issue in such a heterogeneous environment is the provisioning of seamless mobility to users across heterogeneous access networks, according to the Always Best Connected and Served (ABC&S) model. Various vertical handover decision strategies have been proposed in the literature recently to answer ABC&S requirements, using advanced tools. In this paper we introduce a handover decision scheme that deploys fuzzy logic to address the uncertainty that is innate in some decision parameters. Furthermore, we elaborate on how the networks collect and adjust their resources that are broadcasted to the mobile terminals; we also explain how the mobile terminals rank the available offers by the networks. A handover is performed only if a network's offer is considered more satisfactory than current status. Finally, a discussion is made through numerical paradigm and simulations, highlighting the proposed scheme's effectiveness.Reference to this paper should be made as follows: Charilas, D.E. and Panagopoulos, A.D. (2011) 'Fuzzy-based handover decision with multi-attribute auctions in heterogeneous network environments', Int. He has published more than 15 papers in peer-reviewed international journals and conferences. His research interests include mobile radio communication systems design, wireless communications networks, quality of service, resource allocation and game-theoretic applications. He has published more than 80 papers in peerreviewed international journals and transactions and more than 100 papers in conference proceedings. He has been involved in numerous R&D projects funded by European Union. His research interests include mobile computing technologies, radio communication systems design, wireless and satellite communications networks and the impact of physical layer on upper layer communication protocols. He is a senior member of IEEE. He serves as an Associate Editor in IEEE Communication Letters and in IEEE Transactions on Antennas and Propagation.

show abstract

Auction based interface selection with Media Independent Handover services and flow management

Cited by 15 publications

References 11 publications

A novel noncooperative game competing model using generalized simple additive weighting method to perform network selection in heterogeneous wireless networks

A novel noncooperative game competing model using generalized simple additive weighting method to perform network selection in heterogeneous wireless networks

Study on Selection of Heterogeneous Wireless Network in the View of Multi-Attribute Decision-Making

Fuzzy-based handover decision with multi-attribute auctions in heterogeneous network environments

Contact Info

Product

Resources

About