Network selection using game theory

Bendaoud, Fayssal; Abdennebi, Marwen; Didi, Fedoua

doi:10.1109/ceit.2015.7233014

Cited by 12 publications

(7 citation statements)

References 6 publications

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“…For starters, our proposed algorithm (Bendaoud et al, 2017) sorts the networks and provides the user with the best network. The algorithm is essentially based on the following equations: (4) .…”

Section: Network Selectionmentioning

confidence: 99%

“…The network selection procedure consists in selecting the best available network among those accessible (Bendaoud et al, 2015). The best network differs from one user to another due to the various parameters (preferences) involved in the process such as cost, QoS, energy consumed and even mobility (Lahby et al, 2015;Fu et al, 2010) Mobility is the key feature of wireless networks that differentiates them from the wired ones.…”

Section: Introductionmentioning

confidence: 99%

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Mobility Aware Network Selection in a Heterogeneous Wireless Environment

Bendaoud

Abdennebi

Didi

2020

Transport and Telecommunication Journal

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Different Radio Access Technologies (RATs) coexist in the same area has encouraged the researchers to get profit from the available networks by selecting of the best RAT at each moment of the call session to satisfy the user requirements. In this paper, we address a real-world problem which is the frequent mobility of the users in heterogeneous networks. We present in this paper a framework that allows users to select the best networks for the whole call session especially form a mobility perspective. The framework consists of several steps, starting by the path prediction which is performed using a Markov model order 2. The second step is to make the network selection on the zones of each predicted path, while in the third step; we get the best RAT’s configuration for each predicted path. Finally, we use another function to select one of the best configurations to be used for all the possible used paths. The results show that our proposal performs very well by eliminating the unnecessary vertical handover while maintaining a good Quality of Service (QoS).

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Section: Network Selectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Mobility Aware Network Selection in a Heterogeneous Wireless Environment

Bendaoud

Abdennebi

Didi

2020

Transport and Telecommunication Journal

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“…In this paper, we focus on the use of game theory for modeling the network selection problem [23]. An example of a conflicting scenario in which a game theory solves the problem is described below.…”

Section: Game Theorymentioning

confidence: 99%

“…However, they know who the other players are, their possible strategies and their preferences. Hence, the data about the other players is imperfect, but complete [23], [24].…”

Section: Games With Complete/perfect Informationmentioning

confidence: 99%

Network Selection in Wireless Heterogeneous Networks: a Survey

Bendaoud¹,

Abdennebi²,

Didi³

2018

JTIT

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Heterogeneous wireless networks is a term referring to networks combining diﬀerent radio access technologies with the aim of establishing the best connection possible. In this case, users with multi-mode terminals can connect via diﬀerent wireless technologies, such as 802.16, 802.11, UMTS, HSPA and LTE, all at the same time. The problem consists in the selection of the most suitable from all radio access technologies available. The decision process is called network selection, and depends on several parameters, such as quality of service, mobility, cost, energy, battery life, etc. Several methods and approaches have been proposed in this context, with their objective being to oﬀer the best QoS to the users, and/or to maximize re-usability of the networks. This paper represents a survey of the network selection methods used. Multiple attribute-dependent decision-making methods are presented. Furthermore, the game theory concept is illustrated, the use of the fuzzy logic is presented, and the utility functions deﬁning the network selection process are discussed.

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“…Many parameters inuence the decision process of the best RAT [8], the battery level status level, the energy required for the requested services, the Signal to Interference plus Noise ratio received (SINR), the cost to pay, the bandwidth required, the user preferences, QoS â¦etc The NS procedure is the decisive part of the vertical handover process (VHO), it can be either centralised (network-centric) or decentralised (usercentric).…”

Section: Problem Contextmentioning

confidence: 99%

A modified-SAW for network selection in heterogeneous wireless networks

Bendaoud

2017

ECTI-EEC

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In the context of heterogeneous networks, users with multi-mode terminals can connect to different radio access technologies such as 802.16, 802.11, HSPA and LTE at the same time. The challenge here is to achieve the Always Best Connected ABC concept; the main issue is the automatic choice of the suitable Radio Access Technology RAT from the list of the available RATs. This decision is called the network selection. In this paper, we propose a modified-SAW function to deal with the drawbacks of the existing solutions. Indeed, the existing MADMs methods suffer mainly from the famous problem of rank reversal once an alternative is added or removed, other problems occur in the legacy MADMs such as the sensitiveness to the user preference in TOPSIS; the penalization of the alternatives with poor attributes values in WPM. Our simulations brought out the lakes of the traditional MADMs approach in the context of network selection. We modify the SAW method intelligently and we use it to solve the network selection problem. Finally, we compare the performance of our solution with the previous works in different scenarios; the simulations show that our proposal outperforms the other existing methods.

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Network selection using game theory

Cited by 12 publications

References 6 publications

Mobility Aware Network Selection in a Heterogeneous Wireless Environment

Mobility Aware Network Selection in a Heterogeneous Wireless Environment

Network Selection in Wireless Heterogeneous Networks: a Survey

A modified-SAW for network selection in heterogeneous wireless networks

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