Cognitive Networks: Standardizing the Large Scale Wireless Systems

State-of-the-art research and development in large-scale wireless systems have been pushed to the limits, essentially on dealing with the challenges from network scalability and node resource (complexity) constraints, as well as the need for an effective application programming interface. In this paper, we present the reference model of Embedded Wireless Interconnect (EWI), as a potential merge of research advances in multiple engineering disciplines, so as to effectively encapsulate the complexities of large-scale wireless networking. The cognitive radio approach is applied in the EWI reference model, where we define two basic propositions of the cognitive radio for large-scale wireless networks, i.e., opportunistic spectrum sensing and polling, respectively. The research suggests the potential standardization of the cognitive radio in large-scale wireless systems, which consequently results in the large-scale cognitive networks, opportunistically utilizing network resources including both spectrum bandwidth and wireless node availability, and achieving effective application programming over such systems.