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

Salih, Yass K.; See, Ong Hang; Ibrahim, Rabha W.; Yussof, Salman; Iqbal, Azlan

doi:10.1002/dac.2747

Cited by 23 publications

(11 citation statements)

References 33 publications

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“…Unlike the traditional evolutionary game theory that allows learning new strategies and possibly converging on a dominant strategy, we aim to study the welfare of Internet entities. Such welfare or usage analysis is often used in research and we will use it to address some key research questions of this paper, besides revealing the development of welfare in the Internet. The welfare analysis will motivate an Internet that can more suitably act as a baseline for studying choices presented by the decision theory and rational choice, i.e.…”

Section: Related Workmentioning

confidence: 99%

Cooperation and end‐to‐end in the Internet

Kantola

Kabir

Loiseau

2017

Int J Communication

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Summary This paper analyzes the motivation and strategies for ensuring cooperative behavior among hosts and customer networks in the Internet and 5G networks. The hypothesis is that better cooperation among the benevolent entities could improve the overall Internet welfare, motivating the need for adoption of cooperative security. However, in state of the art, the prevalent security approach in the Internet is based on self‐help, while the adoption of cooperative methods is progressing slowly. At the same time, the ubiquitous reliance on 5G and mission critical nature of some of the new services, for example, ultrareliable (machine‐to‐machine) communication and Internet of things, requires that 5G will do its best to curb the malicious (noncooperative) behavior from becoming a cause of failure to the legitimate services. In this paper, we relate our analysis of the conditions for sustainable cooperation in the Internet with the famous end‐to‐end principle, and present the hypothesis that there is no end‐to‐end solution to the problem of ensuring cooperation among Internet hosts. Game theory allows studying the outcomes of interactions among the players with conflicting interests. We use it to study the hypothesis and show that introducing the reputation of Internet nodes and customer networks can lead to cooperation, which improves the overall Internet welfare and reduces the payoffs of malicious actors. We study the possible response of noncooperative users with advanced defection strategies and the resulting outcomes. We argue that 5G shall make significant progress towards uprooting the selfish behavior and malicious activities using cooperation and relate it with motivation for providing ubiquitous connectivity and ultrareliable services. The paper concludes by summarizing our earlier work on the application of the proposed methods of cooperation to 5G and the Internet; outlining how cooperation in security is not only desirable but also feasible.

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Section: Related Workmentioning

confidence: 99%

Cooperation and end‐to‐end in the Internet

Kantola

Kabir

Loiseau

2017

Int J Communication

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“…Salih et al . proposed an NS model, which is based on the integration of simple additive weighting (SAW) method in the framework of non‐cooperative game theory, and the rank sum or AHP method was used to estimate the weights of the parameters that affect the NS process.…”

Section: Intelligent Heterogeneous Network Selectionmentioning

confidence: 99%

“…The score function is based on four criteria: monetary cost, quality of the multimedia stream, energy consumption and user mobility. Salih et al [28,29] proposed an NS model, which is based on the integration of simple additive weighting (SAW) method in the framework of non-cooperative game theory, and the rank sum or AHP method was used to estimate the weights of the parameters that affect the NS process.…”

Section: Intelligent Heterogeneous Network Selectionmentioning

confidence: 99%

An intelligent selection method based on game theory in heterogeneous wireless networks

Salih

See

Ibrahim

2016

Trans. Emerging Tel. Tech.

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In next‐generation networks, users can optimize the choice with seamless transfer of different access technologies to maximize cost saving and improve quality of service. In such heterogeneous wireless environments, users equipped with multimode wireless devices that can access rich media services via one or more access networks. These networks may differ in terms of monetary cost, coverage range, technology, available bandwidth, energy usage and so on. The new challenge faced by network operators is to ensure users always connect to the best available network, whenever they want and wherever they are or another word to stay Always‐Best‐Connected. Therefore, a new intelligent method is proposed here to optimize vertical handover in selection processes to ensure Always‐Best‐Connected in heterogeneous wireless networks. The proposed solution identifies a new game network selection model for choosing the best connections from different candidate wireless networks. The selected network should satisfy the typical user demands. The proposed selection model is implemented by using the non‐cooperative game model. The proposed solution is evaluated through in‐depth analysis and simulation‐based testing. Results clearly prove that the proposed solution exhibits the highest performance compared with other solutions. Copyright © 2016 John Wiley & Sons, Ltd.

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“…Recent improvements for vertical handover process suggest selection of appropriate access technology between WiFi and WiMAX based on analytical hierarchical process [17], an architecture based on MIH signalling for handover process between WiFi and LTE-Advanced [18], an architecture of network mobility (NEMO) in satellite link based on sensing information [19], and a game-theoretic model for selecting suitable access network by capturing inter-linkages of various networks [20]. In a highway with vehicles moving at high speeds in different directions, the authors [21] suggest pre-handover procedure to maintain internet connectivity, using vehicular ad hoc networks (VANETs). The link information is acquired from the vehicles using multi-hop relays that are moving in either directions and thus reducing the handover delays.…”

Section: Related Workmentioning

confidence: 99%

S-TFRC: An efficient rate control scheme for multimedia handovers

Ullah

Shah²,

Baig

2016

COMSIS J

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The integration of heterogeneous wireless access technologies has numerous issues for multimedia applications, such as to smoothly continue over new connections without any service disruption during vertical handovers. We propose State-Aware Feedback extension to Datagram Congestion Control Protocol (DCCP) that meets QoS requirements of multimedia applications throughout the handover process. We consider movement of mobile subscribers among heterogeneous access technologies from highly unstable to more stable environment and model their mobility patterns as Uniform, Pareto, and Exponentially distributed. We present detailed analysis on the performance of proposed mechanism in terms of resuming transmissions during the handover process. In particular, we propose Markov model of TFRC capturing TCP timeouts, loss rates, and no-feedback timer expirations. We validate the proposed analytical model through simulations and show that it accurately predicts various congestion events that may happen during the handover process. We then evaluate the performance of S-TFRC via both simulations and analytical model and observe the sender rates and throughputs achieved. We also consider transmission delays and transmission rates as performance metrics and compare performance of S-TFRC with the standard TFRC. Our results show that S-TFRC is capable of providing better QoS to multimedia applications than standard TFRC by significantly reducing transmission delays and provides better throughput to multimedia applications.

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

Cited by 23 publications

References 33 publications

Cooperation and end‐to‐end in the Internet

Cooperation and end‐to‐end in the Internet

An intelligent selection method based on game theory in heterogeneous wireless networks

S-TFRC: An efficient rate control scheme for multimedia handovers

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