Patrachart Komolkiti

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In this paper, an improved method for bandwidth allocation in a Cognitive Radio Network based on game theory is presented. In this work, utility has been modified by inserting weights to the three terms, received power, interference to other links and interference from other links. Inserting weights enables us to treat different CRN scenarios separately and(More)
This paper develops policies for channel allocation in Cognitive Radio Networks (CRN). Game Theory is a tool which can be applied to allocate the limited resources among the selfish users in CRN. The distributed users actions and decisions can drive the system into an equilibrium state. We analyze the Nash Equilibrium (NE) solution for different CRN(More)
In this paper, an analytical framework has been proposed for performance evaluation of heterogeneous wireless network selection strategy. Its analysability is herein derived from the basis of a well established macroscopic model, called cell transmission model (CTM). With this approach, traffic sources have been modelled as deterministic fluid flow of(More)
This paper is concerned with the framework for finding the optimal stochastic routing to defend intelligent eavesdropping attacks in the Wireless Mesh Network (WMN) with a cone-based, directional antenna. A game-theoretical model is used to find the best strategy to maximize the expected number of secure sessions (ES) under the most severe circumstance. In(More)
This paper proposes a framework for studying the impact of a smart attacker in a wireless mesh network that is used to provide delay-tolerant internet connectivity. Non-cooperative game theory is used to define the defending player strategy in terms of network tree routing as well as the attacking player strategy in terms of the varying position of(More)
This paper proposes two real-time control mechanisms, distributed real-time control with regulating buffer threshold (DRC-RBT) and adaptive distributed realtime control (ADRC), for minimizing the packet jitter. To obtain the reliable results we also construct two platforms of testbeds, wireless and wired, to evaluate the proposed mechanisms. The implemented(More)
Cognitive Radio Network (CRN) is a promising wireless communication solution whereby radio resources are automatically varied to optimize performance in the changing wireless environment. Our work focuses on distributed CRN with rational and independent users. The eventual state often reached in such a system is Nash Equilibrium (NE); multiple NEs with(More)
In cognitive radio network, transmission power must be carefully controlled to maximize the channel usage. This paper investigates the relationship of transmission power among primary and secondary users under the game theory framework. Both cooperative and non-cooperative games are considered. Particularly, two variations of cooperative games are(More)
In wireless networks, transmission power has adverse effects. With low transmission power, the received signal may be eclipsed by the noise and interference from other transmitters, resulting in low SINR. On the other hand, with high transmission power, the interference seen at other receivers could be too large, also resulting in low SINR. This paper aims(More)
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