Energy aware rate selection in Cognitive radio inspired wireless smart objects

The spectrum overcrowding drives investigating solutions to increase the usage of underutilized spectrum bands, minimize redundant interference and maximize expected throughput. Cognitive radio (CR) has presented itself as an appealing technology for solutions in energy constrained devices. Within this context, this paper introduces a system structure which enhances wireless multi-interfaced objects with cognitive radio. We propose a modular architecture to imbue such multi-interfaced devices with cognitive radio features, and based on it we present numerical results which identify performance boundaries and potential energy savings for an adaptive uncoded modulation scheme. Our results show that the tradeoff between throughput and energy consumption can be leveraged satisfactorily to enhance the lifetime significantly in noisy environments.