An Autonomous Access Point for Cognitive Wireless Networks

  • Bheemarjuna Reddy Tamma
  • B.S. Manoj
  • Ramesh Rao


In this chapter, we present an application of the Cognitive Networking paradigm to the design and development of autonomous Cognitive Access Point (CogAP) for Wi-Fi hotspots and home wireless networks. In these environments, we typically use only one AP per service provider/residence for providing wireless connectivity to the users. Here we can reduce the cost of autonomic network control by equipping the same AP with a cognitive functionality. We first present the architecture of autonomous CogAP which consists of two main modules: Traffic sensing module and cognitive controller module. The traffic sensing module uses an efficient packet sampling scheme to characterize traffic from all Wi-Fi channels with single wireless interface. The cognitive controller module consists of two submodules: traffic predictor and cognitive decision engine. The Neural Network-based traffic predictor module makes use of the historical traffic traces for traffic prediction on all channels. The cognitive decision engine makes use of traffic forecasts to dynamically decide which channel is best for CogAP to operate on. We have built a prototype CogAP device using off-the-shelf hardware components and obtained better performance with respect to state-of-the-art channel selection strategies.


Medium Access Control Cognitive Radio Traffic Load Contention Window Channel Selection 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  • Bheemarjuna Reddy Tamma
    • 1
  • B.S. Manoj
    • 2
  • Ramesh Rao
    • 3
  1. 1.Indian Institute of Technology HyderabadHyderabadIndia
  2. 2.Indian Institute of Space Science and Technology (IIST)TrivandrumIndia
  3. 3.University of California San DiegoLa JollaUSA

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