A novel coalition game theory based resource allocation and selfish attack avoidance in cognitive radio ad-hoc networks

Abstract

Cognitive radio (CR) is an intelligent radio, which is been targeted to exploit the utmost available spectrum holes for unlicensed users by sensing the environment. The arrival of advanced wireless communication devices lead to increase in the demand on the spectrum and the need to improve utilization of vacant spectrum. In the past decade the spectrum sensing and allocation has been the main focus of research rather than the security in cognitive radio. A selfish cognitive radio node is a serious security issue which occupies a part of the resources or full resource which is generally a pre-occupation problem in the multiple channel, and forbids other legitimate cognitive nodes from consuming the resources. This self-centered cognitive radio can critically degrade the performance of the network. So a skillful resource allocation strategy should be adopted to avoid these selfish attacks in the network. The conventional resource allocation approaches in the cognitive network are fully dependent. In this scheme, the coalitional game theory incorporates multiple PU and SU in a pool, in which the PU allow other SU’s to make use of its resources in contract or agreement on a timely basis. This scheme adopts efficient resource allocation in a multichannel cooperative system. This proposed system follows the core concept and also supports Shapley value in order to have a non-empty core in the network. The Shapley value equally distributes the payoff throughout the users in the network. It insists that the performance of the proposed scheme has been improved to a near optimum value of 93.7% rather than the performance of the existing COOPON system which figured to only about 74%. By this resource allocation approach, the selfish attacks can be prevented and thereby the efficiency of resource utilization in the network can be considerably increased .