Competitive pricing using Cournot game in Next Generation Networks

Radonjic, Vesna; Acimovic-Raspopovic, Vladanka S.; Kostic-Ljubisavljevic, Aleksandra; Mladenović, Snežana

doi:10.1109/telsks.2011.6112056

Cited by 3 publications

(3 citation statements)

References 11 publications

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“…Our preliminary results in modeling such situation are published in [46] where we considered the competition between two service providers as a simultaneous-play game and found Nash equilibrium to be the solution of this competition.…”

Section: Discussionmentioning

confidence: 99%

Responsive pricing modeled with Stackelberg game for next-generation networks

Radonjic

Acimovic-Raspopovic

2010

Ann. Telecommun.

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In this paper, we study the problem of resource allocation between users in next-generation networks. The starting assumption is that the service provider tries to come up with convincing offers of service level to subscribers, based on demand responsive pricing scheme, while trying to maximize its profit. We developed two algorithms with different usage-based pricing strategies. Both algorithms solve pricing optimization problem using Stackelberg game with service provider acting as a leader and users behaving as followers. We developed the bandwidth management server to perform automatic optimal bandwidth allocation to each user's session and maximize its expected utility while maximizing the overall service provider's revenue. For both algorithms, we also performed the procedure for optimization of the capacity offered to users.

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Section: Discussionmentioning

confidence: 99%

Responsive pricing modeled with Stackelberg game for next-generation networks

Radonjic

Acimovic-Raspopovic

2010

Ann. Telecommun.

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“…Unlike the Cournot model [24], where the strategic decisions are made simultaneously without the knowledge of each other. Han et al [25] observed that in some cases, players select their strategies without knowing the opponents' preferences (payoffs) i.e.…”

Section: Literature Reviewmentioning

confidence: 99%

SOS: NDN Based Service-Oriented Game-Theoretic Efficient Security Scheme for IoT Networks

Kar

Misra

Mandal

et al. 2021

IEEE Trans. Netw. Serv. Manage.

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Internet of Things (IoT) is a network of heterogeneous physical devices connected over the Internet. Each of the devices is capable of collecting and processing data. Due to the connection with the Internet, the IoT devices become more susceptible to attacks by malicious nodes, which may result in privacy loss and security breaches. Thus, network security is necessary for the privacy of transmitted messages. In this context, we propose a scheme, Service-Oriented game-theoretic Security (SOS), which provides a simple yet robust security solution for IoT networks. Here, we have amalgamated our scheme with Named Data Networking (NDN), which is more of a data contentspecific approach, unlike the traditional IP address search. In this scheme, at first, the hop count between the sender and the receiver is used to generate the public key to encrypt the messages by the sender. When the receiver receives this message, it decrypts the message with the help of the decryption function generated by the sender using the hop count between them as the private key. A non-cooperative Stackelberg game-theoretic model is used to model defenders and attackers, which helps to decide strategies to maximize the payoff (profit) of the defenders to protect the network from malicious attacks. The results are further extended for a modified public key encryption technique, which results in the robustness of the security scheme to be used for all real-life network scenarios. Simulation results show that the proposed scheme, SOS, has a better performance compared to the existing state-of-the-art security schemes, UAKMP and CLS, in terms of time complexity, message overhead, throughput, and attack probability.

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“…There are many variants of Cournot's game which are used in different fields. For example, in context of engineering, the game has been used as a model for pricing in next generation networks [16,17].…”

Section: Introductionmentioning

confidence: 99%

Using game theory to optimize traffic light of an intersection

Khanjary

2013

2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI)

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Several Approaches have been proposed so far to optimize traffic lights timing of traffic lights based on different technologies such as wireless sensor networks, fuzzy-neural, agents, fuzzy-genetic algorithm, dynamic programming, petri-nets and recently, game theory. In this paper, we propose a new approach based on game theory. The Simulation results showed that the proposed scheme can improve the traffic significantly.

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Competitive pricing using Cournot game in Next Generation Networks

Cited by 3 publications

References 11 publications

Responsive pricing modeled with Stackelberg game for next-generation networks

Responsive pricing modeled with Stackelberg game for next-generation networks

SOS: NDN Based Service-Oriented Game-Theoretic Efficient Security Scheme for IoT Networks

Using game theory to optimize traffic light of an intersection

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