Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
CalRadio: a portable, flexible 802.11 wireless research platform
MobiEval '07 Proceedings of the 1st international workshop on System evaluation for mobile platforms
Functional and Performance Analysis of CalRadio 1 Platform
NCA '09 Proceedings of the 2009 Eighth IEEE International Symposium on Network Computing and Applications
Cooperation techniques for wireless systems from a networking perspective
IEEE Wireless Communications
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The first step required by the process of cognition is the intelligent observation of the environment that surrounds the actors of such a process. We present the CalRAdio-Based advanced Spectrum Scanner (CRABSS), an open platform developed to monitor the ISM 2.4--2.499 GHz band and reveal opportunities for a better utilization of the available spectrum resources. CRABSS is built through a modular approach by integrating the development platform CalRadio 1 with the Unified Link Layer API (ULLA) framework. This solution provides sensing capabilities while preserving the 802.11b standard compatibility on the CalRadio 1 platform. Moreover, it takes advantage of the ULLA framework to export spectrum occupancy information to prospective cognitive radio manager engines, through a standardized set of sensing APIs.