Leader election algorithm for distributed ad-hoc cognitive radio networks

Recent development in wireless communication has necessitated a high demand for radio resources. This has led to the development of cognitive radio technology in which radio equipments are now capable of identifying spectrum opportunity in their environment and take advantage of spectrum unused by licensed primary radio users for communication. One of the derivatives of the emerging technology is the ad hoc cognitive radio networks where control of the network resources is distributed among the users. In order to improve co-ordination in ad hoc cognitive radio networks, there is a need for selection of an appropriate leader that will guarantee quality of service (QoS), spectrum allocation and aggregation and synchronization of cognitive radios. In this paper we proposed a novel leader election algorithm that is robust for distributed ad hoc cognitive radio networks.